{"text": "Fibon 5仅仅上线了三天就被下架了原因是美国的出口管制指令但仅仅几天就找到了替代Fibon 5的方法Open Router最新公布了一套测试在测试中使用融合技术将GIMI 3 Flash加KMI 2.6加Deep Seek V4 Pro这套组合进行Dirico测试得分为64.7%而Fibon 5的单模型得分是65.3%仅仅相差0.6%如果使用Opus 4.8加GBT 5.5加GB9 3.1 Pro这三个模型融合得分更是高达68.3%这下美国封锁Fibon 5显然意义也不大了那今天我们不探讨得分的具体细节详细聊聊这个融合技术它是怎么打破自己的智力上限的我们从几个点把这个知识吃透那第一什么是融合模型第二融合模型的五种干活方式以及优缺点第三就是融合技术的真实效果怎么样第四融合技术的成本是多少那第五如何快速在Cloud和Codex中使用简单的融合那第五就是在使用中哪些坑不要踩我们先来看第一融合的原理你大概有过这种经验同一个问题第五它的回答详细但是有点啰嗦但Cloud Ops简洁严谨但是回答比较高了问Deepseek回答呢它有哲学性但写代码稍微差点意思问Gmini它适合插资料但有时候它也会降置那每个模型都有长版也有短版那于是一个很自然的想法就冒出来能不能把这些模型的答案融合起来取长补短呢这就是多模型融合它的技术就是为了解决这个问题那融合技术有多厉害呢先讲个故事2024年一家叫Sakana的日本AI小公司没花什么大价钱训练了一个新模型只是把两个县城的开源免费模型一个擅长日语一个擅长数学用巧妙的办法拼在了一起结果这个拼出来的新模型既会日语又会做数学题还在日语数学的权威测试里拿下了一个第一打败了比它大好几倍的模型而它从没有专门为这个任务训练过用一句话解释就是让多个AI模型一起干活常常能干出1加1大于2的效果把一道难题同时丢给三个模型谁的答案好呢就用谁最后整合出的版本往往比单一模型效果要更好不同模型的训练数据架构优化目标都不同犯的错呢也不同正是这种差异专业上叫多样性让互相纠错成为可能假设有一道题每个模型独立答对的概率是70%且错误互相独立三个模型多数投票后答对的概率就变成了78.4%凭空多出8个百分点什么都没改只是多问了几步然后再进行投票而已但这里有个问题需要注意模型必须是不同的如果你拿GPT5.5加GPT5.5 mini加5 Turbo来投票他们失出同门错误高度雷同投票几乎没有增益甚至可能三个一起错选差异大的模型比选更多模型重要的多下面我们来看五种融合方式还有它的优缺点那第一个就是投票法多个模型独立作答出现最多次的答案获胜简单粗暴它的优势就是在选择题数学题代码等一系列有标准答案的任务那缺点就是在编写文案审美等方面你没办法用投票决定哪篇文章写得更好那第二个就是裁判法裁判法就是让多个模型各自作答再用一个更强的模型当裁判选最优的那一个优势就是写作文案分析开放式问答那缺点就是对裁判模型要求比较高裁判要判断出好坏这是为什么OpenRouter在融合模型中把OPUS4.8当裁判的原因因为这个裁判也会有偏见比如说谁先回答谁的回答字数多画风更客气他就更愿意采纳谁这是2024年以来多项研究反复确认的系统性问题对策是调换候选顺序各凭一次取平均值然而代价就是它的Token消耗会高出数倍那第三种融合方式就叫MOA分层融合这个分层融合稍微复杂一些普通集成可以把它比作为几个厨师各做一道菜然后最后端上桌让您选而MOA是第一层几个厨师各做一道菜再传给第二层由第二层的另几个厨师尝过第一层所有人做的菜之后再各自改进一把这样迭代几层之后最后一个主厨再把大家的成果综合成一道终极菜具体到模型它有两个关键角色第一个是提议者是每一层里负责生成答案的多个模型第二个是聚合者是负责看完上一层所有答案再综合出更好版本的模型这个MOA它的精髓在于每一层每个模型都会拿到上一层所有模型的输出当做参考然后在此基础上再写一版一层一层下来答案被反复的汇诊补充纠错越来越好最后再由一个聚合者拍板那它适合于追求极致质量非实时的场景那它的代价就是调用次数多质量上限高但是又贵又慢那第四个呢它叫路由法不融合答案而是智能分流简单的问题呢它就交给便宜的模型难的问题才调用贵的模型说白了呢它就是智能分流本质上还是单模型在输出它适合生产环境成本敏感和大批量处理那风险就是路由有的时候也会判断失误把复杂的问题交给轻量模型去处理那第五种方式呢就叫模型合并打个比方一个公司招了四个程序员各自负责前端后端架构审核现在你找了一个全能程序员让他学习这四个程序员的手艺以后你就不用发四份工资了只雇一个程序员就可以它的妙处就是融合发生的训练阶段你平时用的时候只是用一个模型所以日常使用呢不会变慢和变贵实际上现在各家的大模型已经在做这种模型合并了比如腾讯的会员模型它把快思考和慢思考两套能力融合进一个模型让模型能力更强但是最后我们调用时不需要手动调整模型会自动切换专家MOE那这种方式最大的优点是合并后推理成本和单个模型完全一样没有额外开销适合本地部署有多个同底座的微调模型那缺点就是个人只能用现成融合好的模型想自己融合呢它有非常大的成本和技术门槛说完了以上五种融合模式我们再来看一下使用融合的办法模型具体能提升多少智力2024年Tagazer AI提出MixedJury of Agent是这个领域的里程碑它的做法是分层融合第一层几个模型各写草稿第二层另一个模型读完所有草稿再出综合判断结果在衡量回答质量的PakaEvo 2.0榜单上它的原始结果是超出当时旗舰模型7.6个百分点但是要注意这六个模型全部为开源模型也就是说你的电脑足够多自己就能配出一个顶尖模型算力成本却极低对于企业来说这种部署方式有很大价值在数学推理方面多模型投票通常能带来3-8分的提升而代码生成多模型生成加测试用力筛选加裁判选优可能提升10-20分这是融合收益最夸张的领域因为代码能直接跑测试验证而开放式写作对话用裁判法和MOA能带来3-15分的提升而路由法不为提升上限而是节省约41%的成本但保住了最强模型95%的性能在模型能力上限见顶的当下每提升一分都非常难这种融合法提升可以说是巨大的但现实的问题是OpenAI、Anthrobic这些公司无法提供这种服务OpenAI不可能在Codex中添加OPS模型只能靠第三方做客户端和路由判断我们再来看融合模型它的成本先记住一句话除了路由法所有融合法都比单独调用一个模型更贵因为融合的本质就是多调用几次调用的次数上去了Token自然就上去了我们给几种融合法排个序可以看到MOA在这里是最贵的如果跟单独调用模型比那投票、裁判、MOA全部都更贵路由法是唯一一个能省Token的如果只在会合并答案的融合法内对比投票法因为只算N次不加裁判是这里几个最便宜的但它依然是单模型成本的N倍那在这里我们如何使用模型融合呢个人最快的部署方式就是写一个Skill将Dbseek或者其他国产模型写入到这个Skill当中使用的时候直接调用就可以优势是无论你使用Cloud或者Codex添加一个Skill设置一下K的环境变量就可以在Cloud中跑多么行融合了让Cloud充当裁判当然这也会增加一些Token的用量我目前就是自己写了一个简单的Skill然后接通中转站的方式目前正在调整这个Skill关键就在于这个充当裁判说明书的Skill写得好并不容易那如果你是玩本地模型的也可以用MergerKit这个主流开源工具那它支持逐层拼接合并LauraTeach还能提供网页版零代码无需GPU在线合并如果是想同时调用GPT或者Opus这些模型的话可以用OpenRouter这个网站接入了数百个模型其中的Fusion模式会把同一个Prompt并行发送给一组模型再由裁判模型分析共识矛盾综合输出缺点就是价格会比较贵那我用下来呢一个2000字的输出大概就需要两美金这个坑我已经踩过了从这几个方面来看现在并没有特别好的融合软件关键点在于算法目前融合这条路呢也在探索中相信未来会有更好的第三方融合工具那最后我们来总结一下从2024年到2026年这两年多模型融合从论文阶段逐渐走进大厂各种模型厂商正在把融合逻辑内化进单个模型今天的旗舰模型大多是混合专家架构本质就是把多专家融合进一个模型内部但这并不代表外部融合会消失恰恰相反当你同时调用多家厂商能力边界完全不同的模型时外部融合能突破任何一家单一模型的上限这个是单个MOE模型做不到的比如每家都有自己的训练员解锁信息也有特定的网站比如Gminite就可以搜索YouTube而豆包可以搜索抖音好了这就是本期视频的全部内容欢迎大家点赞留言订阅转发我是刘延我们下个视频见", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 3.54, "text": "Fibon 5仅仅上线了三天就被下架了", "tokens": [50365, 37, 897, 266, 1025, 1550, 227, 1550, 227, 5708, 16853, 123, 2289, 10960, 6135, 3111, 23238, 4438, 7360, 114, 2289, 50542], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 1, "seek": 0, "start": 3.54, "end": 6.74, "text": "原因是美国的出口管制指令", "tokens": [50542, 42577, 1541, 9175, 16086, 1546, 7781, 18144, 23131, 25491, 25922, 49061, 50702], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 2, "seek": 0, "start": 6.74, "end": 11.24, "text": "但仅仅几天就找到了替代Fibon 5的方法", "tokens": [50702, 8395, 1550, 227, 1550, 227, 6336, 254, 6135, 3111, 25085, 21381, 9531, 123, 19105, 37, 897, 266, 1025, 1546, 9249, 11148, 50927], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 3, "seek": 0, "start": 11.24, "end": 14.64, "text": "Open Router最新公布了一套测试", "tokens": [50927, 45569, 497, 23985, 8661, 12560, 13545, 34688, 2289, 2257, 1881, 245, 11038, 233, 5233, 243, 51097], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 4, "seek": 0, "start": 14.64, "end": 16.86, "text": "在测试中使用融合技术", "tokens": [51097, 3581, 11038, 233, 5233, 243, 5975, 22982, 9254, 43772, 235, 14245, 32502, 1474, 107, 51208], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 5, "seek": 0, "start": 16.86, "end": 21.740000000000002, "text": "将GIMI 3 Flash加KMI 2.6加Deep Seek V4 Pro", "tokens": [51208, 45456, 38, 6324, 40, 805, 20232, 9990, 42, 13808, 568, 13, 21, 9990, 11089, 595, 1100, 916, 691, 19, 1705, 51452], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 6, "seek": 0, "start": 21.740000000000002, "end": 24.7, "text": "这套组合进行Dirico测试", "tokens": [51452, 5562, 1881, 245, 10115, 226, 14245, 36700, 8082, 35, 347, 2789, 11038, 233, 5233, 243, 51600], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 7, "seek": 0, "start": 24.7, "end": 28.04, "text": "得分为64.7%", "tokens": [51600, 5916, 6627, 13992, 19395, 13, 22, 4, 51767], "temperature": 0, "avg_logprob": -0.1573308308919271, "compression_ratio": 1.0757575757575757, "no_speech_prob": 1.4860029873275948e-11}, {"id": 8, "seek": 2804, "start": 28.04, "end": 32.14, "text": "而Fibon 5的单模型得分是65.3%", "tokens": [50365, 11070, 37, 897, 266, 1025, 1546, 47446, 41908, 39823, 5916, 6627, 1541, 16824, 13, 18, 4, 50570], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 9, "seek": 2804, "start": 32.14, "end": 35.0, "text": "仅仅相差0.6%", "tokens": [50570, 1550, 227, 1550, 227, 15106, 21679, 15, 13, 21, 4, 50713], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 10, "seek": 2804, "start": 35.0, "end": 40.84, "text": "如果使用Opus 4.8加GBT 5.5加GB9 3.1 Pro", "tokens": [50713, 13119, 22982, 9254, 46, 31624, 1017, 13, 23, 9990, 8769, 51, 1025, 13, 20, 9990, 8769, 24, 805, 13, 16, 1705, 51005], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 11, "seek": 2804, "start": 40.84, "end": 46.8, "text": "这三个模型融合得分更是高达68.3%", "tokens": [51005, 5562, 10960, 7549, 41908, 39823, 43772, 235, 14245, 5916, 6627, 19002, 1541, 12979, 9830, 122, 27102, 13, 18, 4, 51303], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 12, "seek": 2804, "start": 46.8, "end": 50.599999999999994, "text": "这下美国封锁Fibon 5显然意义也不大了", "tokens": [51303, 5562, 4438, 9175, 16086, 1530, 223, 23049, 223, 37, 897, 266, 1025, 1431, 122, 5823, 9042, 2930, 231, 6404, 1960, 3582, 2289, 51493], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 13, "seek": 2804, "start": 50.599999999999994, "end": 55.18, "text": "那今天我们不探讨得分的具体细节", "tokens": [51493, 4184, 12074, 15003, 1960, 6900, 95, 7422, 101, 5916, 6627, 1546, 39806, 29485, 10115, 228, 45161, 51722], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 14, "seek": 2804, "start": 55.18, "end": 57.519999999999996, "text": "详细聊聊这个融合技术", "tokens": [51722, 5233, 99, 10115, 228, 40096, 40096, 15368, 43772, 235, 14245, 32502, 1474, 107, 51839], "temperature": 0, "avg_logprob": -0.1309924018114133, "compression_ratio": 1.0864197530864197, "no_speech_prob": 1.144293861055079e-11}, {"id": 15, "seek": 5752, "start": 57.52, "end": 61.120000000000005, "text": "它是怎么打破自己的智力上限的", "tokens": [50365, 11284, 1541, 15282, 12467, 39560, 17645, 1546, 5094, 118, 13486, 5708, 43446, 1546, 50545], "temperature": 0, "avg_logprob": -0.08570733070373535, "compression_ratio": 1.23121387283237, "no_speech_prob": 1.7260578383249126e-11}, {"id": 16, "seek": 5752, "start": 61.120000000000005, "end": 64.48, "text": "我们从几个点把这个知识吃透", "tokens": [50545, 15003, 35630, 6336, 254, 7549, 12579, 16075, 15368, 6498, 5233, 228, 10123, 45808, 50713], "temperature": 0, "avg_logprob": -0.08570733070373535, "compression_ratio": 1.23121387283237, "no_speech_prob": 1.7260578383249126e-11}, {"id": 17, "seek": 5752, "start": 64.48, "end": 67.2, "text": "那第一什么是融合模型", "tokens": [50713, 4184, 18049, 10440, 1541, 43772, 235, 14245, 41908, 39823, 50849], "temperature": 0, "avg_logprob": -0.08570733070373535, "compression_ratio": 1.23121387283237, "no_speech_prob": 1.7260578383249126e-11}, {"id": 18, "seek": 5752, "start": 67.2, "end": 72.72, "text": "第二融合模型的五种干活方式以及优缺点", "tokens": [50849, 19693, 43772, 235, 14245, 41908, 39823, 1546, 21001, 39810, 26111, 25956, 9249, 27584, 40282, 7384, 246, 38109, 118, 12579, 51125], "temperature": 0, "avg_logprob": -0.08570733070373535, "compression_ratio": 1.23121387283237, "no_speech_prob": 1.7260578383249126e-11}, {"id": 19, "seek": 5752, "start": 72.72, "end": 76.14, "text": "第三就是融合技术的真实效果怎么样", "tokens": [51125, 35878, 5620, 43772, 235, 14245, 32502, 1474, 107, 1546, 6303, 24726, 43076, 9319, 48200, 51296], "temperature": 0, "avg_logprob": -0.08570733070373535, "compression_ratio": 1.23121387283237, "no_speech_prob": 1.7260578383249126e-11}, {"id": 20, "seek": 7614, "start": 76.14, "end": 79.6, "text": "第四融合技术的成本是多少", "tokens": [50365, 7536, 19425, 43772, 235, 14245, 32502, 1474, 107, 1546, 11336, 8802, 1541, 41492, 50538], "temperature": 0, "avg_logprob": -0.08685995827258473, "compression_ratio": 1.1265822784810127, "no_speech_prob": 1.5134305267339165e-11}, {"id": 21, "seek": 7614, "start": 79.6, "end": 86.22, "text": "那第五如何快速在Cloud和Codex中使用简单的融合", "tokens": [50538, 4184, 7536, 21001, 43526, 10251, 31217, 3581, 32787, 12565, 34, 1429, 87, 5975, 22982, 9254, 11249, 222, 47446, 1546, 43772, 235, 14245, 50869], "temperature": 0, "avg_logprob": -0.08685995827258473, "compression_ratio": 1.1265822784810127, "no_speech_prob": 1.5134305267339165e-11}, {"id": 22, "seek": 7614, "start": 86.22, "end": 90.52, "text": "那第五就是在使用中哪些坑不要踩", "tokens": [50869, 4184, 7536, 21001, 5620, 3581, 22982, 9254, 5975, 17028, 13824, 14872, 239, 11962, 41166, 102, 51084], "temperature": 0, "avg_logprob": -0.08685995827258473, "compression_ratio": 1.1265822784810127, "no_speech_prob": 1.5134305267339165e-11}, {"id": 23, "seek": 7614, "start": 90.52, "end": 93.98, "text": "我们先来看第一融合的原理", "tokens": [51084, 15003, 10108, 6912, 4200, 18049, 43772, 235, 14245, 1546, 19683, 13876, 51257], "temperature": 0, "avg_logprob": -0.08685995827258473, "compression_ratio": 1.1265822784810127, "no_speech_prob": 1.5134305267339165e-11}, {"id": 24, "seek": 9398, "start": 93.98, "end": 97.58, "text": "你大概有过这种经验", "tokens": [50365, 2166, 32044, 2412, 16866, 5562, 39810, 30276, 49657, 234, 50545], "temperature": 0, "avg_logprob": -0.24540800518459743, "compression_ratio": 0.7924528301886793, "no_speech_prob": 1.3568436305066989e-11}, {"id": 25, "seek": 9398, "start": 97.58, "end": 99.58, "text": "同一个问题", "tokens": [50545, 13089, 20182, 34069, 50645], "temperature": 0, "avg_logprob": -0.24540800518459743, "compression_ratio": 0.7924528301886793, "no_speech_prob": 1.3568436305066989e-11}, {"id": 26, "seek": 9958, "start": 99.58, "end": 103.17999999999999, "text": "第五它的回答详细但是有点啰嗦", "tokens": [50365, 7536, 21001, 45224, 8350, 28223, 5233, 99, 10115, 228, 11189, 2412, 12579, 3284, 108, 6083, 99, 50545], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 27, "seek": 9958, "start": 103.17999999999999, "end": 106.12, "text": "但Cloud Ops简洁严谨", "tokens": [50545, 8395, 32787, 422, 1878, 11249, 222, 12136, 223, 940, 98, 8897, 101, 50692], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 28, "seek": 9958, "start": 106.12, "end": 107.98, "text": "但是回答比较高了", "tokens": [50692, 11189, 8350, 28223, 11706, 9830, 225, 12979, 2289, 50785], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 29, "seek": 9958, "start": 107.98, "end": 109.66, "text": "问Deepseek回答呢", "tokens": [50785, 22064, 11089, 595, 405, 916, 8350, 28223, 6240, 50869], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 30, "seek": 9958, "start": 109.66, "end": 110.75999999999999, "text": "它有哲学性", "tokens": [50869, 11284, 2412, 3858, 110, 29618, 21686, 50924], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 31, "seek": 9958, "start": 110.75999999999999, "end": 112.86, "text": "但写代码稍微差点意思", "tokens": [50924, 8395, 5676, 247, 19105, 23230, 223, 10415, 235, 39152, 21679, 12579, 16697, 51029], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 32, "seek": 9958, "start": 112.86, "end": 115.72, "text": "问Gmini它适合插资料", "tokens": [51029, 22064, 38, 2367, 72, 11284, 2215, 224, 14245, 11673, 240, 5266, 226, 33404, 51172], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 33, "seek": 9958, "start": 115.72, "end": 118.06, "text": "但有时候它也会降置", "tokens": [51172, 8395, 2412, 29111, 11284, 6404, 12949, 47421, 34719, 51289], "temperature": 0, "avg_logprob": -0.2408400054025178, "compression_ratio": 1.077720207253886, "no_speech_prob": 1.3608216983818089e-11}, {"id": 34, "seek": 11806, "start": 118.06, "end": 122.02, "text": "那每个模型都有长版也有短版", "tokens": [50365, 4184, 23664, 7549, 41908, 39823, 48121, 32271, 42096, 6404, 2412, 5881, 255, 42096, 50563], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 35, "seek": 11806, "start": 122.02, "end": 125.26, "text": "那于是一个很自然的想法就冒出来", "tokens": [50563, 4184, 37732, 1541, 20182, 4563, 9722, 5823, 1546, 7093, 11148, 3111, 5676, 240, 44561, 50725], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 36, "seek": 11806, "start": 125.26, "end": 128.38, "text": "能不能把这些模型的答案融合起来", "tokens": [50725, 8225, 28590, 16075, 5562, 13824, 41908, 39823, 1546, 28223, 28899, 43772, 235, 14245, 9147, 6912, 50881], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 37, "seek": 11806, "start": 128.38, "end": 129.34, "text": "取长补短呢", "tokens": [50881, 29436, 32271, 9890, 98, 5881, 255, 6240, 50929], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 38, "seek": 11806, "start": 129.34, "end": 132.28, "text": "这就是多模型融合", "tokens": [50929, 5562, 5620, 6392, 41908, 39823, 43772, 235, 14245, 51076], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 39, "seek": 11806, "start": 132.28, "end": 135.06, "text": "它的技术就是为了解决这个问题", "tokens": [51076, 45224, 32502, 1474, 107, 5620, 13992, 2289, 17278, 5676, 111, 15368, 34069, 51215], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 40, "seek": 11806, "start": 135.06, "end": 137.92000000000002, "text": "那融合技术有多厉害呢", "tokens": [51215, 4184, 43772, 235, 14245, 32502, 1474, 107, 2412, 6392, 5014, 231, 14694, 6240, 51358], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 41, "seek": 11806, "start": 137.92000000000002, "end": 139.26, "text": "先讲个故事", "tokens": [51358, 10108, 39255, 7549, 43045, 6973, 51425], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 42, "seek": 11806, "start": 139.26, "end": 144.02, "text": "2024年一家叫Sakana的日本AI小公司", "tokens": [51425, 2009, 7911, 5157, 2257, 5155, 19855, 50, 514, 2095, 1546, 27311, 48698, 7322, 13545, 32981, 51663], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 43, "seek": 11806, "start": 144.02, "end": 145.6, "text": "没花什么大价钱", "tokens": [51663, 10062, 20127, 10440, 3582, 1550, 115, 39623, 51742], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 44, "seek": 11806, "start": 145.6, "end": 147.48000000000002, "text": "训练了一个新模型", "tokens": [51742, 7422, 255, 10115, 225, 2289, 20182, 12560, 41908, 39823, 51836], "temperature": 0, "avg_logprob": -0.11418161257891588, "compression_ratio": 1.2436363636363637, "no_speech_prob": 1.3495494652349116e-11}, {"id": 45, "seek": 14748, "start": 147.48, "end": 150.88, "text": "只是把两个县城的开源免费模型", "tokens": [50365, 36859, 16075, 36257, 7549, 5014, 123, 45277, 1546, 18937, 47402, 2347, 235, 18464, 117, 41908, 39823, 50535], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 46, "seek": 14748, "start": 150.88, "end": 152.5, "text": "一个擅长日语", "tokens": [50535, 20182, 13167, 227, 32271, 6890, 5233, 255, 50616], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 47, "seek": 14748, "start": 152.5, "end": 153.82, "text": "一个擅长数学", "tokens": [50616, 20182, 13167, 227, 32271, 33188, 29618, 50682], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 48, "seek": 14748, "start": 153.82, "end": 156.51999999999998, "text": "用巧妙的办法拼在了一起", "tokens": [50682, 9254, 43605, 5648, 247, 1546, 39453, 11148, 6852, 120, 3581, 2289, 29567, 50817], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 49, "seek": 14748, "start": 156.51999999999998, "end": 159.26, "text": "结果这个拼出来的新模型", "tokens": [50817, 45641, 9319, 15368, 6852, 120, 44561, 1546, 12560, 41908, 39823, 50954], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 50, "seek": 14748, "start": 159.26, "end": 161.82, "text": "既会日语又会做数学题", "tokens": [50954, 4479, 95, 12949, 6890, 5233, 255, 17047, 12949, 10907, 33188, 29618, 30716, 51082], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 51, "seek": 14748, "start": 161.82, "end": 164.82, "text": "还在日语数学的权威测试里", "tokens": [51082, 14852, 3581, 6890, 5233, 255, 33188, 29618, 1546, 4422, 225, 19976, 223, 11038, 233, 5233, 243, 15759, 51232], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 52, "seek": 14748, "start": 164.82, "end": 166.22, "text": "拿下了一个第一", "tokens": [51232, 24351, 4438, 2289, 20182, 18049, 51302], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 53, "seek": 14748, "start": 166.22, "end": 168.88, "text": "打败了比它大好几倍的模型", "tokens": [51302, 12467, 18464, 98, 2289, 11706, 11284, 3582, 2131, 6336, 254, 35477, 1546, 41908, 39823, 51435], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 54, "seek": 14748, "start": 168.88, "end": 172.26, "text": "而它从没有专门为这个任务训练过", "tokens": [51435, 11070, 11284, 35630, 17944, 940, 241, 8259, 101, 13992, 15368, 26443, 5087, 94, 7422, 255, 10115, 225, 16866, 51604], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 55, "seek": 14748, "start": 172.26, "end": 174.42, "text": "用一句话解释就是", "tokens": [51604, 9254, 2257, 34592, 21596, 17278, 5873, 232, 5620, 51712], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 56, "seek": 14748, "start": 174.42, "end": 176.89999999999998, "text": "让多个AI模型一起干活", "tokens": [51712, 33650, 6392, 7549, 48698, 41908, 39823, 29567, 26111, 25956, 51836], "temperature": 0, "avg_logprob": -0.07662465572357177, "compression_ratio": 1.3468634686346863, "no_speech_prob": 1.1824261188231322e-11}, {"id": 57, "seek": 17690, "start": 176.9, "end": 180.3, "text": "常常能干出1加1大于2的效果", "tokens": [50365, 11279, 11279, 8225, 26111, 7781, 16, 9990, 16, 3582, 37732, 17, 1546, 43076, 9319, 50535], "temperature": 0, "avg_logprob": -0.10678992372878054, "compression_ratio": 1.1933701657458564, "no_speech_prob": 1.635119470377866e-11}, {"id": 58, "seek": 17690, "start": 180.3, "end": 183.42000000000002, "text": "把一道难题同时丢给三个模型", "tokens": [50535, 16075, 2257, 6025, 46531, 30716, 13089, 15729, 940, 95, 23197, 10960, 7549, 41908, 39823, 50691], "temperature": 0, "avg_logprob": -0.10678992372878054, "compression_ratio": 1.1933701657458564, "no_speech_prob": 1.635119470377866e-11}, {"id": 59, "seek": 17690, "start": 183.42000000000002, "end": 185.74, "text": "谁的答案好呢就用谁", "tokens": [50691, 33556, 1546, 28223, 28899, 2131, 6240, 3111, 9254, 33556, 50807], "temperature": 0, "avg_logprob": -0.10678992372878054, "compression_ratio": 1.1933701657458564, "no_speech_prob": 1.635119470377866e-11}, {"id": 60, "seek": 17690, "start": 185.74, "end": 187.5, "text": "最后整合出的版本", "tokens": [50807, 8661, 13547, 27662, 14245, 7781, 1546, 42096, 8802, 50895], "temperature": 0, "avg_logprob": -0.10678992372878054, "compression_ratio": 1.1933701657458564, "no_speech_prob": 1.635119470377866e-11}, {"id": 61, "seek": 17690, "start": 187.5, "end": 190.42000000000002, "text": "往往比单一模型效果要更好", "tokens": [50895, 29510, 29510, 11706, 47446, 2257, 41908, 39823, 43076, 9319, 4275, 19002, 2131, 51041], "temperature": 0, "avg_logprob": -0.10678992372878054, "compression_ratio": 1.1933701657458564, "no_speech_prob": 1.635119470377866e-11}, {"id": 62, "seek": 17690, "start": 190.42000000000002, "end": 194.3, "text": "不同模型的训练数据架构优化目标都不同", "tokens": [51041, 47123, 41908, 39823, 1546, 7422, 255, 10115, 225, 33188, 26075, 106, 7360, 114, 7360, 226, 7384, 246, 23756, 11386, 162, 3921, 7182, 47123, 51235], "temperature": 0, "avg_logprob": -0.10678992372878054, "compression_ratio": 1.1933701657458564, "no_speech_prob": 1.635119470377866e-11}, {"id": 63, "seek": 19430, "start": 194.3, "end": 196.02, "text": "犯的错呢也不同", "tokens": [50365, 35276, 107, 1546, 29900, 6240, 6404, 47123, 50451], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 64, "seek": 19430, "start": 196.02, "end": 197.70000000000002, "text": "正是这种差异", "tokens": [50451, 15789, 1541, 5562, 39810, 21679, 5702, 224, 50535], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 65, "seek": 19430, "start": 197.70000000000002, "end": 199.42000000000002, "text": "专业上叫多样性", "tokens": [50535, 940, 241, 940, 248, 5708, 19855, 6392, 14496, 21686, 50621], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 66, "seek": 19430, "start": 199.42000000000002, "end": 202.5, "text": "让互相纠错成为可能", "tokens": [50621, 33650, 1369, 240, 15106, 16853, 254, 29900, 11336, 13992, 16657, 50775], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 67, "seek": 19430, "start": 202.5, "end": 204.66000000000003, "text": "假设有一道题", "tokens": [50775, 31706, 7422, 122, 32241, 6025, 30716, 50883], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 68, "seek": 19430, "start": 204.66000000000003, "end": 208.70000000000002, "text": "每个模型独立答对的概率是70%", "tokens": [50883, 23664, 7549, 41908, 39823, 18637, 105, 24409, 28223, 8713, 1546, 26181, 44866, 1541, 5867, 4, 51085], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 69, "seek": 19430, "start": 208.70000000000002, "end": 210.82000000000002, "text": "且错误互相独立", "tokens": [51085, 20334, 29900, 5233, 107, 1369, 240, 15106, 18637, 105, 24409, 51191], "temperature": 0, "avg_logprob": -0.15784775018692015, "compression_ratio": 1.0784313725490196, "no_speech_prob": 1.7181651934539133e-11}, {"id": 70, "seek": 21082, "start": 210.82, "end": 213.98, "text": "三个模型多数投票后", "tokens": [50365, 10960, 7549, 41908, 39823, 6392, 33188, 37094, 41925, 13547, 50523], "temperature": 0, "avg_logprob": -0.12428898646913726, "compression_ratio": 0.8428571428571429, "no_speech_prob": 1.8930756268131788e-11}, {"id": 71, "seek": 21082, "start": 213.98, "end": 217.34, "text": "答对的概率就变成了78.4%", "tokens": [50523, 28223, 8713, 1546, 26181, 44866, 3111, 2129, 246, 11336, 2289, 30693, 13, 19, 4, 50691], "temperature": 0, "avg_logprob": -0.12428898646913726, "compression_ratio": 0.8428571428571429, "no_speech_prob": 1.8930756268131788e-11}, {"id": 72, "seek": 21734, "start": 217.34, "end": 219.62, "text": "凭空多出8个百分点", "tokens": [50365, 6336, 255, 23322, 6392, 7781, 23, 7549, 31906, 6627, 12579, 50479], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 73, "seek": 21734, "start": 219.62, "end": 220.74, "text": "什么都没改", "tokens": [50479, 10440, 7182, 10062, 34490, 50535], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 74, "seek": 21734, "start": 220.74, "end": 222.74, "text": "只是多问了几步", "tokens": [50535, 36859, 6392, 22064, 2289, 6336, 254, 31429, 50635], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 75, "seek": 21734, "start": 222.74, "end": 224.74, "text": "然后再进行投票而已", "tokens": [50635, 26636, 8623, 36700, 8082, 37094, 41925, 48420, 50735], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 76, "seek": 21734, "start": 224.74, "end": 227.3, "text": "但这里有个问题需要注意", "tokens": [50735, 8395, 35102, 2412, 7549, 34069, 35748, 40794, 50863], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 77, "seek": 21734, "start": 227.3, "end": 229.38, "text": "模型必须是不同的", "tokens": [50863, 41908, 39823, 28531, 10178, 119, 1541, 47123, 1546, 50967], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 78, "seek": 21734, "start": 229.38, "end": 231.54, "text": "如果你拿GPT5.5", "tokens": [50967, 45669, 24351, 38, 47, 51, 20, 13, 20, 51075], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 79, "seek": 21734, "start": 231.54, "end": 234.86, "text": "加GPT5.5 mini加5 Turbo", "tokens": [51075, 9990, 38, 47, 51, 20, 13, 20, 8382, 9990, 20, 35848, 51241], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 80, "seek": 21734, "start": 234.86, "end": 235.54, "text": "来投票", "tokens": [51241, 6912, 37094, 41925, 51275], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 81, "seek": 21734, "start": 235.54, "end": 237.38, "text": "他们失出同门", "tokens": [51275, 47911, 28564, 7781, 13089, 8259, 101, 51367], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 82, "seek": 21734, "start": 237.38, "end": 239.02, "text": "错误高度雷同", "tokens": [51367, 29900, 5233, 107, 12979, 13127, 6306, 115, 13089, 51449], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 83, "seek": 21734, "start": 239.02, "end": 241.38, "text": "投票几乎没有增益", "tokens": [51449, 37094, 41925, 6336, 254, 2930, 236, 17944, 24228, 252, 5419, 232, 51567], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 84, "seek": 21734, "start": 241.38, "end": 243.14000000000001, "text": "甚至可能三个一起错", "tokens": [51567, 17556, 20844, 16657, 10960, 7549, 29567, 29900, 51655], "temperature": 0, "avg_logprob": -0.1679358673095703, "compression_ratio": 1.0968992248062015, "no_speech_prob": 1.9104743828601833e-11}, {"id": 85, "seek": 24314, "start": 243.14, "end": 247.5, "text": "选差异大的模型比选更多模型重要的多", "tokens": [50365, 2215, 231, 21679, 5702, 224, 39156, 41908, 39823, 11706, 2215, 231, 19002, 6392, 41908, 39823, 24928, 1546, 6392, 50583], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 86, "seek": 24314, "start": 247.5, "end": 250.77999999999997, "text": "下面我们来看五种融合方式", "tokens": [50583, 47150, 15003, 6912, 4200, 21001, 39810, 43772, 235, 14245, 9249, 27584, 50747], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 87, "seek": 24314, "start": 250.77999999999997, "end": 252.61999999999998, "text": "还有它的优缺点", "tokens": [50747, 35091, 45224, 7384, 246, 38109, 118, 12579, 50839], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 88, "seek": 24314, "start": 252.61999999999998, "end": 254.73999999999998, "text": "那第一个就是投票法", "tokens": [50839, 4184, 18049, 7549, 5620, 37094, 41925, 11148, 50945], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 89, "seek": 24314, "start": 254.73999999999998, "end": 256.86, "text": "多个模型独立作答", "tokens": [50945, 6392, 7549, 41908, 39823, 18637, 105, 24409, 11914, 28223, 51051], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 90, "seek": 24314, "start": 256.86, "end": 259.62, "text": "出现最多次的答案获胜", "tokens": [51051, 7781, 20204, 8661, 6392, 9487, 1546, 28223, 28899, 31127, 115, 19095, 250, 51189], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 91, "seek": 24314, "start": 259.62, "end": 261.0, "text": "简单粗暴", "tokens": [51189, 11249, 222, 47446, 18393, 245, 23826, 112, 51258], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 92, "seek": 24314, "start": 261.0, "end": 264.74, "text": "它的优势就是在选择题数学题代码", "tokens": [51258, 45224, 7384, 246, 5087, 123, 5620, 3581, 2215, 231, 6852, 102, 30716, 33188, 29618, 30716, 19105, 23230, 223, 51445], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 93, "seek": 24314, "start": 264.74, "end": 267.8, "text": "等一系列有标准答案的任务", "tokens": [51445, 10187, 2257, 25368, 43338, 2412, 162, 3921, 6336, 228, 28223, 28899, 1546, 26443, 5087, 94, 51598], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 94, "seek": 24314, "start": 267.8, "end": 271.34, "text": "那缺点就是在编写文案审美等方面", "tokens": [51598, 4184, 38109, 118, 12579, 5620, 3581, 38109, 244, 5676, 247, 17174, 28899, 2415, 94, 9175, 10187, 39604, 51775], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 95, "seek": 24314, "start": 271.34, "end": 272.82, "text": "你没办法用投票", "tokens": [51775, 2166, 10062, 39453, 11148, 9254, 37094, 41925, 51849], "temperature": 0, "avg_logprob": -0.0987140693162617, "compression_ratio": 1.3384615384615384, "no_speech_prob": 1.7159919318832095e-11}, {"id": 96, "seek": 27282, "start": 272.82, "end": 275.7, "text": "决定哪篇文章写得更好", "tokens": [50365, 5676, 111, 12088, 17028, 20878, 229, 17174, 11957, 254, 5676, 247, 5916, 19002, 2131, 50509], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 97, "seek": 27282, "start": 275.7, "end": 277.78, "text": "那第二个就是裁判法", "tokens": [50509, 4184, 19693, 7549, 5620, 8083, 223, 2437, 97, 11148, 50613], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 98, "seek": 27282, "start": 277.78, "end": 281.78, "text": "裁判法就是让多个模型各自作答", "tokens": [50613, 8083, 223, 2437, 97, 11148, 5620, 33650, 6392, 7549, 41908, 39823, 17516, 9722, 11914, 28223, 50813], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 99, "seek": 27282, "start": 281.78, "end": 284.62, "text": "再用一个更强的模型当裁判", "tokens": [50813, 8623, 9254, 20182, 19002, 5702, 118, 1546, 41908, 39823, 16233, 8083, 223, 2437, 97, 50955], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 100, "seek": 27282, "start": 284.62, "end": 286.14, "text": "选最优的那一个", "tokens": [50955, 2215, 231, 8661, 7384, 246, 1546, 4184, 20182, 51031], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 101, "seek": 27282, "start": 286.14, "end": 290.74, "text": "优势就是写作文案分析开放式问答", "tokens": [51031, 7384, 246, 5087, 123, 5620, 5676, 247, 11914, 17174, 28899, 6627, 7360, 238, 18937, 12744, 27584, 22064, 28223, 51261], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 102, "seek": 27282, "start": 290.74, "end": 294.65999999999997, "text": "那缺点就是对裁判模型要求比较高", "tokens": [51261, 4184, 38109, 118, 12579, 5620, 8713, 8083, 223, 2437, 97, 41908, 39823, 4275, 32718, 11706, 9830, 225, 12979, 51457], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 103, "seek": 27282, "start": 294.65999999999997, "end": 297.65999999999997, "text": "裁判要判断出好坏", "tokens": [51457, 8083, 223, 2437, 97, 4275, 2437, 97, 4307, 255, 7781, 2131, 14872, 237, 51607], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 104, "seek": 27282, "start": 297.65999999999997, "end": 301.21999999999997, "text": "这是为什么OpenRouter在融合模型中", "tokens": [51607, 27455, 31006, 45569, 49, 23985, 3581, 43772, 235, 14245, 41908, 39823, 5975, 51785], "temperature": 0, "avg_logprob": -0.07924267924423758, "compression_ratio": 1.2987551867219918, "no_speech_prob": 1.554195487585286e-11}, {"id": 105, "seek": 30122, "start": 301.22, "end": 304.1, "text": "把OPUS4.8当裁判的原因", "tokens": [50365, 16075, 12059, 3447, 19, 13, 23, 16233, 8083, 223, 2437, 97, 1546, 42577, 50509], "temperature": 0, "avg_logprob": -0.1807683495914235, "compression_ratio": 0.717948717948718, "no_speech_prob": 1.7936251442418616e-11}, {"id": 106, "seek": 30410, "start": 304.1, "end": 306.98, "text": "因为这个裁判也会有偏见", "tokens": [50365, 34627, 15368, 8083, 223, 2437, 97, 6404, 12949, 2412, 7437, 237, 23813, 50509], "temperature": 0, "avg_logprob": -0.15712710618972778, "compression_ratio": 1.0802469135802468, "no_speech_prob": 1.8455337952305584e-11}, {"id": 107, "seek": 30410, "start": 306.98, "end": 309.06, "text": "比如说谁先回答", "tokens": [50509, 36757, 8090, 33556, 10108, 8350, 28223, 50613], "temperature": 0, "avg_logprob": -0.15712710618972778, "compression_ratio": 1.0802469135802468, "no_speech_prob": 1.8455337952305584e-11}, {"id": 108, "seek": 30410, "start": 309.06, "end": 310.5, "text": "谁的回答字数多", "tokens": [50613, 33556, 1546, 8350, 28223, 22381, 33188, 6392, 50685], "temperature": 0, "avg_logprob": -0.15712710618972778, "compression_ratio": 1.0802469135802468, "no_speech_prob": 1.8455337952305584e-11}, {"id": 109, "seek": 30410, "start": 310.5, "end": 311.94, "text": "画风更客气", "tokens": [50685, 27126, 47209, 19002, 32316, 42204, 50757], "temperature": 0, "avg_logprob": -0.15712710618972778, "compression_ratio": 1.0802469135802468, "no_speech_prob": 1.8455337952305584e-11}, {"id": 110, "seek": 30410, "start": 311.94, "end": 313.94, "text": "他就更愿意采纳谁", "tokens": [50757, 5000, 3111, 19002, 4820, 123, 9042, 5873, 229, 16853, 111, 33556, 50857], "temperature": 0, "avg_logprob": -0.15712710618972778, "compression_ratio": 1.0802469135802468, "no_speech_prob": 1.8455337952305584e-11}, {"id": 111, "seek": 30410, "start": 313.94, "end": 318.98, "text": "这是2024年以来多项研究反复确认的系统性问题", "tokens": [50857, 27455, 2009, 7911, 5157, 3588, 6912, 6392, 10178, 117, 23230, 242, 44704, 22138, 1787, 235, 38114, 106, 7422, 97, 1546, 25368, 10115, 253, 21686, 34069, 51109], "temperature": 0, "avg_logprob": -0.15712710618972778, "compression_ratio": 1.0802469135802468, "no_speech_prob": 1.8455337952305584e-11}, {"id": 112, "seek": 31898, "start": 318.98, "end": 321.86, "text": "对策是调换候选顺序", "tokens": [50365, 8713, 7973, 244, 1541, 8897, 225, 26075, 95, 11238, 2215, 231, 10178, 118, 6346, 237, 50509], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 113, "seek": 31898, "start": 321.86, "end": 324.18, "text": "各凭一次取平均值", "tokens": [50509, 17516, 6336, 255, 27505, 29436, 16716, 14872, 229, 40242, 50625], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 114, "seek": 31898, "start": 324.18, "end": 328.5, "text": "然而代价就是它的Token消耗会高出数倍", "tokens": [50625, 5823, 11070, 19105, 1550, 115, 5620, 45224, 51, 8406, 28837, 4450, 245, 12949, 12979, 7781, 33188, 35477, 50841], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 115, "seek": 31898, "start": 328.5, "end": 330.82, "text": "那第三种融合方式", "tokens": [50841, 4184, 35878, 39810, 43772, 235, 14245, 9249, 27584, 50957], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 116, "seek": 31898, "start": 330.82, "end": 333.54, "text": "就叫MOA分层融合", "tokens": [50957, 3111, 19855, 18976, 32, 6627, 9636, 224, 43772, 235, 14245, 51093], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 117, "seek": 31898, "start": 333.54, "end": 337.14000000000004, "text": "这个分层融合稍微复杂一些", "tokens": [51093, 15368, 6627, 9636, 224, 43772, 235, 14245, 10415, 235, 39152, 1787, 235, 4422, 224, 38515, 51273], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 118, "seek": 31898, "start": 337.14000000000004, "end": 340.82, "text": "普通集成可以把它比作为几个厨师", "tokens": [51273, 29993, 19550, 26020, 11336, 6723, 42061, 11706, 11914, 13992, 6336, 254, 7549, 5014, 101, 29186, 51457], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 119, "seek": 31898, "start": 340.82, "end": 341.94, "text": "各做一道菜", "tokens": [51457, 17516, 10907, 2257, 6025, 33025, 51513], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 120, "seek": 31898, "start": 341.94, "end": 344.98, "text": "然后最后端上桌让您选", "tokens": [51513, 26636, 8661, 13547, 11957, 107, 5708, 162, 5475, 33650, 23414, 2215, 231, 51665], "temperature": 0, "avg_logprob": -0.16367542932903956, "compression_ratio": 1.1380753138075315, "no_speech_prob": 2.0377338705301895e-11}, {"id": 121, "seek": 34498, "start": 344.98, "end": 349.86, "text": "而MOA是第一层几个厨师各做一道菜", "tokens": [50365, 11070, 18976, 32, 1541, 18049, 9636, 224, 6336, 254, 7549, 5014, 101, 29186, 17516, 10907, 2257, 6025, 33025, 50609], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 122, "seek": 34498, "start": 349.86, "end": 351.54, "text": "再传给第二层", "tokens": [50609, 8623, 7384, 254, 23197, 19693, 9636, 224, 50693], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 123, "seek": 34498, "start": 351.54, "end": 355.54, "text": "由第二层的另几个厨师尝过第一层", "tokens": [50693, 23786, 19693, 9636, 224, 1546, 22762, 6336, 254, 7549, 5014, 101, 29186, 1530, 251, 16866, 18049, 9636, 224, 50893], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 124, "seek": 34498, "start": 355.54, "end": 357.46000000000004, "text": "所有人做的菜之后", "tokens": [50893, 39300, 4035, 10907, 1546, 33025, 9574, 13547, 50989], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 125, "seek": 34498, "start": 357.46000000000004, "end": 359.54, "text": "再各自改进一把", "tokens": [50989, 8623, 17516, 9722, 34490, 36700, 2257, 16075, 51093], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 126, "seek": 34498, "start": 359.54, "end": 361.46000000000004, "text": "这样迭代几层之后", "tokens": [51093, 21209, 3316, 255, 19105, 6336, 254, 9636, 224, 9574, 13547, 51189], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 127, "seek": 34498, "start": 361.46000000000004, "end": 362.90000000000003, "text": "最后一个主厨", "tokens": [51189, 8661, 13547, 20182, 13557, 5014, 101, 51261], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 128, "seek": 34498, "start": 362.90000000000003, "end": 366.74, "text": "再把大家的成果综合成一道终极菜", "tokens": [51261, 8623, 16075, 6868, 1546, 11336, 9319, 10115, 120, 14245, 11336, 2257, 6025, 10115, 230, 7360, 223, 33025, 51453], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 129, "seek": 34498, "start": 367.46000000000004, "end": 369.3, "text": "具体到模型", "tokens": [51489, 39806, 29485, 4511, 41908, 39823, 51581], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 130, "seek": 34498, "start": 369.3, "end": 371.38, "text": "它有两个关键角色", "tokens": [51581, 11284, 2412, 36257, 7549, 28053, 23049, 106, 29389, 17673, 51685], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 131, "seek": 34498, "start": 371.38, "end": 373.22, "text": "第一个是提议者", "tokens": [51685, 18049, 7549, 1541, 20949, 7422, 106, 12444, 51777], "temperature": 0, "avg_logprob": -0.14865924693919993, "compression_ratio": 1.3100436681222707, "no_speech_prob": 1.8272296870014415e-11}, {"id": 132, "seek": 37322, "start": 373.22, "end": 376.74, "text": "是每一层里负责生成答案的多个模型", "tokens": [50365, 1541, 23664, 2257, 9636, 224, 15759, 18464, 253, 18464, 96, 8244, 11336, 28223, 28899, 1546, 6392, 7549, 41908, 39823, 50541], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 133, "seek": 37322, "start": 376.74, "end": 378.98, "text": "第二个是聚合者", "tokens": [50541, 19693, 7549, 1541, 8171, 248, 14245, 12444, 50653], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 134, "seek": 37322, "start": 378.98, "end": 381.78000000000003, "text": "是负责看完上一层所有答案", "tokens": [50653, 1541, 18464, 253, 18464, 96, 4200, 14128, 5708, 2257, 9636, 224, 39300, 28223, 28899, 50793], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 135, "seek": 37322, "start": 381.78000000000003, "end": 384.26000000000005, "text": "再综合出更好版本的模型", "tokens": [50793, 8623, 10115, 120, 14245, 7781, 19002, 2131, 42096, 8802, 1546, 41908, 39823, 50917], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 136, "seek": 37322, "start": 384.26000000000005, "end": 387.3, "text": "这个MOA它的精髓在于", "tokens": [50917, 15368, 18976, 32, 45224, 34910, 9084, 241, 3581, 37732, 51069], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 137, "seek": 37322, "start": 387.3, "end": 388.58000000000004, "text": "每一层每个模型", "tokens": [51069, 23664, 2257, 9636, 224, 23664, 7549, 41908, 39823, 51133], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 138, "seek": 37322, "start": 388.58000000000004, "end": 391.62, "text": "都会拿到上一层所有模型的输出", "tokens": [51133, 7182, 12949, 24351, 4511, 5708, 2257, 9636, 224, 39300, 41908, 39823, 1546, 9830, 241, 7781, 51285], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 139, "seek": 37322, "start": 391.62, "end": 392.74, "text": "当做参考", "tokens": [51285, 16233, 10907, 2129, 224, 26504, 51341], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 140, "seek": 37322, "start": 392.74, "end": 394.74, "text": "然后在此基础上", "tokens": [51341, 26636, 3581, 17947, 26008, 38114, 222, 5708, 51441], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 141, "seek": 37322, "start": 394.74, "end": 395.86, "text": "再写一版", "tokens": [51441, 8623, 5676, 247, 2257, 42096, 51497], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 142, "seek": 37322, "start": 395.86, "end": 397.14000000000004, "text": "一层一层下来", "tokens": [51497, 2257, 9636, 224, 2257, 9636, 224, 4438, 6912, 51561], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 143, "seek": 37322, "start": 397.14000000000004, "end": 399.86, "text": "答案被反复的汇诊补充", "tokens": [51561, 28223, 28899, 23238, 22138, 1787, 235, 1546, 12800, 229, 5233, 232, 9890, 98, 2347, 227, 51697], "temperature": 0, "avg_logprob": -0.1496722412109375, "compression_ratio": 1.3776824034334765, "no_speech_prob": 1.5441706940899635e-11}, {"id": 144, "seek": 39986, "start": 399.86, "end": 401.54, "text": "纠错越来越好", "tokens": [50365, 16853, 254, 29900, 25761, 6912, 25761, 2131, 50449], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 145, "seek": 39986, "start": 401.54, "end": 404.18, "text": "最后再由一个聚合者拍板", "tokens": [50449, 8661, 13547, 8623, 23786, 20182, 8171, 248, 14245, 12444, 31113, 43664, 50581], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 146, "seek": 39986, "start": 404.18, "end": 407.38, "text": "那它适合于追求极致质量", "tokens": [50581, 4184, 11284, 2215, 224, 14245, 37732, 39947, 32718, 7360, 223, 6784, 112, 18464, 101, 26748, 50741], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 147, "seek": 39986, "start": 407.38, "end": 408.82, "text": "非实时的场景", "tokens": [50741, 12107, 24726, 15729, 1546, 50255, 50218, 50813], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 148, "seek": 39986, "start": 408.82, "end": 411.54, "text": "那它的代价就是调用次数多", "tokens": [50813, 4184, 45224, 19105, 1550, 115, 5620, 8897, 225, 9254, 9487, 33188, 6392, 50949], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 149, "seek": 39986, "start": 411.54, "end": 413.22, "text": "质量上限高", "tokens": [50949, 18464, 101, 26748, 5708, 43446, 12979, 51033], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 150, "seek": 39986, "start": 413.22, "end": 415.06, "text": "但是又贵又慢", "tokens": [51033, 11189, 17047, 18464, 113, 17047, 20645, 51125], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 151, "seek": 39986, "start": 415.06, "end": 416.66, "text": "那第四个呢", "tokens": [51125, 4184, 7536, 19425, 7549, 6240, 51205], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 152, "seek": 39986, "start": 416.66, "end": 418.18, "text": "它叫路由法", "tokens": [51205, 11284, 19855, 24658, 23786, 11148, 51281], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 153, "seek": 39986, "start": 418.18, "end": 419.38, "text": "不融合答案", "tokens": [51281, 1960, 43772, 235, 14245, 28223, 28899, 51341], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 154, "seek": 39986, "start": 419.38, "end": 420.82, "text": "而是智能分流", "tokens": [51341, 11070, 1541, 5094, 118, 8225, 6627, 27854, 51413], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 155, "seek": 39986, "start": 420.82, "end": 422.18, "text": "简单的问题呢", "tokens": [51413, 11249, 222, 47446, 1546, 34069, 6240, 51481], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 156, "seek": 39986, "start": 422.18, "end": 424.26, "text": "它就交给便宜的模型", "tokens": [51481, 11284, 3111, 28455, 23197, 27364, 2415, 250, 1546, 41908, 39823, 51585], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 157, "seek": 39986, "start": 424.26, "end": 426.74, "text": "难的问题才调用贵的模型", "tokens": [51585, 46531, 1546, 34069, 18888, 8897, 225, 9254, 18464, 113, 1546, 41908, 39823, 51709], "temperature": 0, "avg_logprob": -0.18526793850792778, "compression_ratio": 1.2946058091286308, "no_speech_prob": 1.7835391150078372e-11}, {"id": 158, "seek": 42674, "start": 426.74, "end": 427.7, "text": "说白了呢", "tokens": [50365, 8090, 13558, 2289, 6240, 50413], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 159, "seek": 42674, "start": 427.7, "end": 429.62, "text": "它就是智能分流", "tokens": [50413, 11284, 5620, 5094, 118, 8225, 6627, 27854, 50509], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 160, "seek": 42674, "start": 429.62, "end": 432.34000000000003, "text": "本质上还是单模型在输出", "tokens": [50509, 8802, 18464, 101, 5708, 45726, 47446, 41908, 39823, 3581, 9830, 241, 7781, 50645], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 161, "seek": 42674, "start": 432.34000000000003, "end": 435.62, "text": "它适合生产环境成本敏感", "tokens": [50645, 11284, 2215, 224, 14245, 8244, 1369, 100, 8051, 107, 47885, 11336, 8802, 7017, 237, 9709, 50809], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 162, "seek": 42674, "start": 435.62, "end": 437.14, "text": "和大批量处理", "tokens": [50809, 12565, 3582, 3416, 117, 26748, 1787, 226, 13876, 50885], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 163, "seek": 42674, "start": 437.14, "end": 439.06, "text": "那风险就是路由", "tokens": [50885, 4184, 47209, 8842, 102, 5620, 24658, 23786, 50981], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 164, "seek": 42674, "start": 439.06, "end": 441.14, "text": "有的时候也会判断失误", "tokens": [50981, 2412, 49873, 6404, 12949, 2437, 97, 4307, 255, 28564, 5233, 107, 51085], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 165, "seek": 42674, "start": 441.14, "end": 444.58, "text": "把复杂的问题交给轻量模型去处理", "tokens": [51085, 16075, 1787, 235, 4422, 224, 1546, 34069, 28455, 23197, 17819, 119, 26748, 41908, 39823, 6734, 1787, 226, 13876, 51257], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 166, "seek": 42674, "start": 444.58, "end": 446.1, "text": "那第五种方式呢", "tokens": [51257, 4184, 7536, 21001, 39810, 9249, 27584, 6240, 51333], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 167, "seek": 42674, "start": 446.1, "end": 448.18, "text": "就叫模型合并", "tokens": [51333, 3111, 19855, 41908, 39823, 14245, 3509, 114, 51437], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 168, "seek": 42674, "start": 448.18, "end": 449.22, "text": "打个比方", "tokens": [51437, 12467, 7549, 11706, 9249, 51489], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 169, "seek": 42674, "start": 449.22, "end": 452.18, "text": "一个公司招了四个程序员", "tokens": [51489, 20182, 13545, 32981, 6852, 249, 2289, 19425, 7549, 29649, 6346, 237, 3606, 246, 51637], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 170, "seek": 42674, "start": 452.18, "end": 455.38, "text": "各自负责前端后端架构审核", "tokens": [51637, 17516, 9722, 18464, 253, 18464, 96, 8945, 11957, 107, 13547, 11957, 107, 7360, 114, 7360, 226, 2415, 94, 8987, 116, 51797], "temperature": 0, "avg_logprob": -0.11375219925590184, "compression_ratio": 1.247191011235955, "no_speech_prob": 1.6232647170877357e-11}, {"id": 171, "seek": 45538, "start": 455.38, "end": 457.78, "text": "现在你找了一个全能程序员", "tokens": [50365, 25040, 2166, 25085, 2289, 20182, 11319, 8225, 29649, 6346, 237, 3606, 246, 50485], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 172, "seek": 45538, "start": 457.78, "end": 460.74, "text": "让他学习这四个程序员的手艺", "tokens": [50485, 33650, 5000, 29618, 2930, 254, 5562, 19425, 7549, 29649, 6346, 237, 3606, 246, 1546, 11389, 12531, 118, 50633], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 173, "seek": 45538, "start": 460.74, "end": 463.94, "text": "以后你就不用发四份工资了", "tokens": [50633, 3588, 13547, 41045, 24384, 28926, 19425, 36266, 23323, 5266, 226, 2289, 50793], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 174, "seek": 45538, "start": 463.94, "end": 466.1, "text": "只雇一个程序员就可以", "tokens": [50793, 14003, 6306, 229, 20182, 29649, 6346, 237, 3606, 246, 36781, 50901], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 175, "seek": 45538, "start": 466.1, "end": 469.54, "text": "它的妙处就是融合发生的训练阶段", "tokens": [50901, 45224, 5648, 247, 1787, 226, 5620, 43772, 235, 14245, 28926, 8244, 1546, 7422, 255, 10115, 225, 10034, 114, 28427, 51073], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 176, "seek": 45538, "start": 469.54, "end": 472.65999999999997, "text": "你平时用的时候只是用一个模型", "tokens": [51073, 2166, 16716, 15729, 9254, 49873, 36859, 9254, 20182, 41908, 39823, 51229], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 177, "seek": 45538, "start": 472.65999999999997, "end": 474.26, "text": "所以日常使用呢", "tokens": [51229, 7239, 6890, 11279, 22982, 9254, 6240, 51309], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 178, "seek": 45538, "start": 474.26, "end": 476.26, "text": "不会变慢和变贵", "tokens": [51309, 47928, 2129, 246, 20645, 12565, 2129, 246, 18464, 113, 51409], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 179, "seek": 45538, "start": 476.26, "end": 478.26, "text": "实际上现在各家的大模型", "tokens": [51409, 24726, 8842, 227, 5708, 25040, 17516, 5155, 1546, 3582, 41908, 39823, 51509], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 180, "seek": 45538, "start": 478.26, "end": 480.58, "text": "已经在做这种模型合并了", "tokens": [51509, 49161, 3581, 10907, 5562, 39810, 41908, 39823, 14245, 3509, 114, 2289, 51625], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 181, "seek": 45538, "start": 480.58, "end": 482.9, "text": "比如腾讯的会员模型", "tokens": [51625, 36757, 21184, 122, 7422, 107, 1546, 12949, 3606, 246, 41908, 39823, 51741], "temperature": 0, "avg_logprob": -0.12115905458564001, "compression_ratio": 1.369811320754717, "no_speech_prob": 1.738419651287071e-11}, {"id": 182, "seek": 48290, "start": 482.9, "end": 486.26, "text": "它把快思考和慢思考两套能力", "tokens": [50365, 11284, 16075, 10251, 8870, 26504, 12565, 20645, 8870, 26504, 36257, 1881, 245, 8225, 13486, 50533], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 183, "seek": 48290, "start": 486.26, "end": 487.94, "text": "融合进一个模型", "tokens": [50533, 43772, 235, 14245, 36700, 20182, 41908, 39823, 50617], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 184, "seek": 48290, "start": 487.94, "end": 489.53999999999996, "text": "让模型能力更强", "tokens": [50617, 33650, 41908, 39823, 8225, 13486, 19002, 5702, 118, 50697], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 185, "seek": 48290, "start": 489.53999999999996, "end": 491.21999999999997, "text": "但是最后我们调用时", "tokens": [50697, 11189, 8661, 13547, 15003, 8897, 225, 9254, 15729, 50781], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 186, "seek": 48290, "start": 491.21999999999997, "end": 493.29999999999995, "text": "不需要手动调整", "tokens": [50781, 1960, 35748, 11389, 34961, 8897, 225, 27662, 50885], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 187, "seek": 48290, "start": 493.29999999999995, "end": 496.5, "text": "模型会自动切换专家MOE", "tokens": [50885, 41908, 39823, 12949, 9722, 34961, 23632, 26075, 95, 940, 241, 5155, 18976, 36, 51045], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 188, "seek": 48290, "start": 496.5, "end": 497.7, "text": "那这种方式", "tokens": [51045, 4184, 5562, 39810, 9249, 27584, 51105], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 189, "seek": 48290, "start": 497.7, "end": 498.97999999999996, "text": "最大的优点是", "tokens": [51105, 8661, 39156, 7384, 246, 12579, 1541, 51169], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 190, "seek": 48290, "start": 498.97999999999996, "end": 502.65999999999997, "text": "合并后推理成本和单个模型完全一样", "tokens": [51169, 14245, 3509, 114, 13547, 33597, 13876, 11336, 8802, 12565, 47446, 7549, 41908, 39823, 37100, 2257, 14496, 51353], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 191, "seek": 48290, "start": 502.65999999999997, "end": 504.34, "text": "没有额外开销", "tokens": [51353, 17944, 12501, 251, 12022, 18937, 23049, 222, 51437], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 192, "seek": 48290, "start": 504.34, "end": 505.7, "text": "适合本地部署", "tokens": [51437, 2215, 224, 14245, 8802, 10928, 13470, 16469, 110, 51505], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 193, "seek": 48290, "start": 505.7, "end": 508.82, "text": "有多个同底座的微调模型", "tokens": [51505, 2412, 6392, 7549, 13089, 22816, 6346, 100, 1546, 39152, 8897, 225, 41908, 39823, 51661], "temperature": 0, "avg_logprob": -0.1298068364461263, "compression_ratio": 1.2510121457489878, "no_speech_prob": 1.9519701827119817e-11}, {"id": 194, "seek": 50882, "start": 508.82, "end": 512.98, "text": "那缺点就是个人只能用现成融合好的模型", "tokens": [50365, 4184, 38109, 118, 12579, 5620, 7549, 4035, 14003, 8225, 9254, 20204, 11336, 43772, 235, 14245, 20715, 41908, 39823, 50573], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 195, "seek": 50882, "start": 512.98, "end": 514.74, "text": "想自己融合呢", "tokens": [50573, 7093, 17645, 43772, 235, 14245, 6240, 50661], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 196, "seek": 50882, "start": 514.74, "end": 517.86, "text": "它有非常大的成本和技术门槛", "tokens": [50661, 11284, 2412, 14392, 39156, 11336, 8802, 12565, 32502, 1474, 107, 8259, 101, 24880, 249, 50817], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 197, "seek": 50882, "start": 517.86, "end": 520.18, "text": "说完了以上五种融合模式", "tokens": [50817, 8090, 41665, 29497, 21001, 39810, 43772, 235, 14245, 41908, 27584, 50933], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 198, "seek": 50882, "start": 520.18, "end": 521.62, "text": "我们再来看一下", "tokens": [50933, 15003, 8623, 6912, 28324, 51005], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 199, "seek": 50882, "start": 521.62, "end": 523.38, "text": "使用融合的办法", "tokens": [51005, 22982, 9254, 43772, 235, 14245, 1546, 39453, 11148, 51093], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 200, "seek": 50882, "start": 523.38, "end": 526.66, "text": "模型具体能提升多少智力", "tokens": [51093, 41908, 39823, 39806, 29485, 8225, 20949, 41670, 41492, 5094, 118, 13486, 51257], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 201, "seek": 50882, "start": 526.66, "end": 527.62, "text": "2024年", "tokens": [51257, 2009, 7911, 5157, 51305], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 202, "seek": 50882, "start": 527.62, "end": 531.46, "text": "Tagazer AI提出MixedJury of Agent", "tokens": [51305, 51, 559, 921, 260, 7318, 20949, 7781, 44, 40303, 41, 2598, 295, 27174, 51497], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 203, "seek": 50882, "start": 531.46, "end": 533.38, "text": "是这个领域的里程碑", "tokens": [51497, 1541, 15368, 12501, 228, 16262, 253, 1546, 15759, 29649, 16337, 239, 51593], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 204, "seek": 50882, "start": 533.38, "end": 536.02, "text": "它的做法是分层融合", "tokens": [51593, 45224, 10907, 11148, 1541, 6627, 9636, 224, 43772, 235, 14245, 51725], "temperature": 0, "avg_logprob": -0.19163612885908646, "compression_ratio": 1.1214285714285714, "no_speech_prob": 1.5909693701354755e-11}, {"id": 205, "seek": 53602, "start": 536.02, "end": 538.42, "text": "第一层几个模型各写草稿", "tokens": [50365, 18049, 9636, 224, 6336, 254, 7549, 41908, 39823, 17516, 5676, 247, 31409, 231, 10415, 123, 50485], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 206, "seek": 53602, "start": 538.42, "end": 539.06, "text": "第二层", "tokens": [50485, 19693, 9636, 224, 50517], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 207, "seek": 53602, "start": 539.06, "end": 541.22, "text": "另一个模型读完所有草稿", "tokens": [50517, 22762, 20182, 41908, 39823, 5233, 119, 14128, 39300, 31409, 231, 10415, 123, 50625], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 208, "seek": 53602, "start": 541.22, "end": 543.54, "text": "再出综合判断结果", "tokens": [50625, 8623, 7781, 10115, 120, 14245, 2437, 97, 4307, 255, 45641, 9319, 50741], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 209, "seek": 53602, "start": 543.54, "end": 548.34, "text": "在衡量回答质量的PakaEvo 2.0榜单上", "tokens": [50741, 3581, 9890, 94, 26748, 8350, 28223, 18464, 101, 26748, 1546, 47, 7849, 36, 3080, 568, 13, 15, 22989, 250, 47446, 5708, 50981], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 210, "seek": 53602, "start": 548.34, "end": 553.54, "text": "它的原始结果是超出当时旗舰模型7.6个百分点", "tokens": [50981, 45224, 19683, 15476, 45641, 9319, 1541, 19869, 7781, 16233, 15729, 4479, 245, 10256, 108, 41908, 39823, 22, 13, 21, 7549, 31906, 6627, 12579, 51241], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 211, "seek": 53602, "start": 553.54, "end": 554.66, "text": "但是要注意", "tokens": [51241, 11189, 4275, 40794, 51297], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 212, "seek": 53602, "start": 554.66, "end": 557.6999999999999, "text": "这六个模型全部为开源模型", "tokens": [51297, 5562, 30566, 7549, 41908, 39823, 38714, 13992, 18937, 47402, 41908, 39823, 51449], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 213, "seek": 53602, "start": 557.6999999999999, "end": 560.1, "text": "也就是说你的电脑足够多", "tokens": [51449, 6404, 5620, 8090, 18961, 42182, 27067, 239, 37236, 1787, 253, 6392, 51569], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 214, "seek": 53602, "start": 560.1, "end": 562.5, "text": "自己就能配出一个顶尖模型", "tokens": [51569, 17645, 3111, 8225, 38846, 7781, 20182, 10178, 114, 1530, 244, 41908, 39823, 51689], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 215, "seek": 53602, "start": 562.5, "end": 564.66, "text": "算力成本却极低", "tokens": [51689, 19497, 13486, 11336, 8802, 5322, 112, 7360, 223, 41377, 51797], "temperature": 0, "avg_logprob": -0.11523379664267264, "compression_ratio": 1.2198581560283688, "no_speech_prob": 1.7293064549783743e-11}, {"id": 216, "seek": 56466, "start": 564.66, "end": 565.86, "text": "对于企业来说", "tokens": [50365, 8713, 37732, 7384, 223, 940, 248, 6912, 8090, 50425], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 217, "seek": 56466, "start": 565.86, "end": 568.9, "text": "这种部署方式有很大价值", "tokens": [50425, 5562, 39810, 13470, 16469, 110, 9249, 27584, 2412, 4563, 3582, 1550, 115, 40242, 50577], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 218, "seek": 56466, "start": 568.9, "end": 570.42, "text": "在数学推理方面", "tokens": [50577, 3581, 33188, 29618, 33597, 13876, 39604, 50653], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 219, "seek": 56466, "start": 570.42, "end": 574.9, "text": "多模型投票通常能带来3-8分的提升", "tokens": [50653, 6392, 41908, 39823, 37094, 41925, 19550, 11279, 8225, 4845, 99, 6912, 18, 12, 23, 6627, 1546, 20949, 41670, 50877], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 220, "seek": 56466, "start": 574.9, "end": 576.5, "text": "而代码生成", "tokens": [50877, 11070, 19105, 23230, 223, 8244, 11336, 50957], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 221, "seek": 56466, "start": 576.5, "end": 580.74, "text": "多模型生成加测试用力筛选加裁判选优", "tokens": [50957, 6392, 41908, 39823, 8244, 11336, 9990, 11038, 233, 5233, 243, 9254, 13486, 7973, 249, 2215, 231, 9990, 8083, 223, 2437, 97, 2215, 231, 7384, 246, 51169], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 222, "seek": 56466, "start": 580.74, "end": 582.8199999999999, "text": "可能提升10-20分", "tokens": [51169, 16657, 20949, 41670, 3279, 12, 2009, 6627, 51273], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 223, "seek": 56466, "start": 582.8199999999999, "end": 585.54, "text": "这是融合收益最夸张的领域", "tokens": [51273, 27455, 43772, 235, 14245, 18681, 5419, 232, 8661, 1787, 116, 44059, 1546, 12501, 228, 16262, 253, 51409], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 224, "seek": 56466, "start": 585.54, "end": 588.5, "text": "因为代码能直接跑测试验证", "tokens": [51409, 34627, 19105, 23230, 223, 8225, 43297, 32585, 11038, 233, 5233, 243, 49657, 234, 5233, 223, 51557], "temperature": 0, "avg_logprob": -0.08355460238100877, "compression_ratio": 1.1904761904761905, "no_speech_prob": 1.66243564053703e-11}, {"id": 225, "seek": 58850, "start": 588.5, "end": 590.98, "text": "而开放式写作对话", "tokens": [50365, 11070, 18937, 12744, 27584, 5676, 247, 11914, 8713, 21596, 50489], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 226, "seek": 58850, "start": 590.98, "end": 596.34, "text": "用裁判法和MOA能带来3-15分的提升", "tokens": [50489, 9254, 8083, 223, 2437, 97, 11148, 12565, 18976, 32, 8225, 4845, 99, 6912, 18, 12, 5211, 6627, 1546, 20949, 41670, 50757], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 227, "seek": 58850, "start": 596.34, "end": 599.14, "text": "而路由法不为提升上限", "tokens": [50757, 11070, 24658, 23786, 11148, 1960, 13992, 20949, 41670, 5708, 43446, 50897], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 228, "seek": 58850, "start": 599.14, "end": 602.74, "text": "而是节省约41%的成本", "tokens": [50897, 11070, 1541, 45161, 2862, 223, 16853, 99, 17344, 4, 1546, 11336, 8802, 51077], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 229, "seek": 58850, "start": 602.74, "end": 606.5, "text": "但保住了最强模型95%的性能", "tokens": [51077, 8395, 24302, 21632, 2289, 8661, 5702, 118, 41908, 39823, 15718, 4, 1546, 21686, 8225, 51265], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 230, "seek": 58850, "start": 606.5, "end": 609.7, "text": "在模型能力上限见顶的当下", "tokens": [51265, 3581, 41908, 39823, 8225, 13486, 5708, 43446, 23813, 10178, 114, 1546, 16233, 4438, 51425], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 231, "seek": 58850, "start": 609.7, "end": 612.66, "text": "每提升一分都非常难", "tokens": [51425, 23664, 20949, 41670, 2257, 6627, 7182, 14392, 46531, 51573], "temperature": 0, "avg_logprob": -0.1378166535321404, "compression_ratio": 1.1377551020408163, "no_speech_prob": 1.7169233049174615e-11}, {"id": 232, "seek": 61266, "start": 612.66, "end": 615.86, "text": "这种融合法提升可以说是巨大的", "tokens": [50365, 5562, 39810, 43772, 235, 14245, 11148, 20949, 41670, 6723, 8090, 1541, 5238, 101, 39156, 50525], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 233, "seek": 61266, "start": 615.86, "end": 617.3, "text": "但现实的问题是", "tokens": [50525, 8395, 20204, 24726, 1546, 34069, 1541, 50597], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 234, "seek": 61266, "start": 617.3, "end": 620.02, "text": "OpenAI、Anthrobic这些公司", "tokens": [50597, 45569, 48698, 1231, 7828, 392, 16614, 299, 5562, 13824, 13545, 32981, 50733], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 235, "seek": 61266, "start": 620.02, "end": 622.18, "text": "无法提供这种服务", "tokens": [50733, 31364, 11148, 20949, 3254, 249, 5562, 39810, 27408, 5087, 94, 50841], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 236, "seek": 61266, "start": 622.18, "end": 626.66, "text": "OpenAI不可能在Codex中添加OPS模型", "tokens": [50841, 45569, 48698, 1960, 16657, 3581, 34, 1429, 87, 5975, 14176, 119, 9990, 46, 6273, 41908, 39823, 51065], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 237, "seek": 61266, "start": 626.66, "end": 630.18, "text": "只能靠第三方做客户端和路由判断", "tokens": [51065, 14003, 8225, 5363, 254, 35878, 9249, 10907, 32316, 1486, 115, 11957, 107, 12565, 24658, 23786, 2437, 97, 4307, 255, 51241], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 238, "seek": 61266, "start": 630.18, "end": 633.2199999999999, "text": "我们再来看融合模型它的成本", "tokens": [51241, 15003, 8623, 6912, 4200, 43772, 235, 14245, 41908, 39823, 45224, 11336, 8802, 51393], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 239, "seek": 61266, "start": 633.2199999999999, "end": 635.14, "text": "先记住一句话", "tokens": [51393, 10108, 34756, 21632, 2257, 34592, 21596, 51489], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 240, "seek": 61266, "start": 635.14, "end": 636.66, "text": "除了路由法", "tokens": [51489, 32999, 2289, 24658, 23786, 11148, 51565], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 241, "seek": 61266, "start": 636.66, "end": 640.9, "text": "所有融合法都比单独调用一个模型更贵", "tokens": [51565, 39300, 43772, 235, 14245, 11148, 7182, 11706, 47446, 18637, 105, 8897, 225, 9254, 20182, 41908, 39823, 19002, 18464, 113, 51777], "temperature": 0, "avg_logprob": -0.1329246929713658, "compression_ratio": 1.168458781362007, "no_speech_prob": 1.5511722115113535e-11}, {"id": 242, "seek": 64090, "start": 640.9, "end": 644.18, "text": "因为融合的本质就是多调用几次", "tokens": [50365, 34627, 43772, 235, 14245, 1546, 8802, 18464, 101, 5620, 6392, 8897, 225, 9254, 6336, 254, 9487, 50529], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 243, "seek": 64090, "start": 644.18, "end": 645.86, "text": "调用的次数上去了", "tokens": [50529, 8897, 225, 9254, 1546, 9487, 33188, 5708, 45190, 50613], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 244, "seek": 64090, "start": 645.86, "end": 648.02, "text": "Token自然就上去了", "tokens": [50613, 51, 8406, 9722, 5823, 3111, 5708, 45190, 50721], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 245, "seek": 64090, "start": 648.02, "end": 650.34, "text": "我们给几种融合法排个序", "tokens": [50721, 15003, 23197, 6336, 254, 39810, 43772, 235, 14245, 11148, 44647, 7549, 6346, 237, 50837], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 246, "seek": 64090, "start": 650.34, "end": 653.9399999999999, "text": "可以看到MOA在这里是最贵的", "tokens": [50837, 6723, 18032, 18976, 32, 3581, 35102, 1541, 8661, 18464, 113, 1546, 51017], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 247, "seek": 64090, "start": 653.9399999999999, "end": 656.34, "text": "如果跟单独调用模型比", "tokens": [51017, 13119, 9678, 47446, 18637, 105, 8897, 225, 9254, 41908, 39823, 11706, 51137], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 248, "seek": 64090, "start": 656.34, "end": 660.02, "text": "那投票、裁判、MOA全部都更贵", "tokens": [51137, 4184, 37094, 41925, 1231, 8083, 223, 2437, 97, 1231, 18976, 32, 38714, 7182, 19002, 18464, 113, 51321], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 249, "seek": 64090, "start": 660.02, "end": 663.54, "text": "路由法是唯一一个能省Token的", "tokens": [51321, 24658, 23786, 11148, 1541, 17198, 107, 2257, 20182, 8225, 2862, 223, 51, 8406, 1546, 51497], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 250, "seek": 64090, "start": 663.54, "end": 667.38, "text": "如果只在会合并答案的融合法内对比", "tokens": [51497, 13119, 14003, 3581, 12949, 14245, 3509, 114, 28223, 28899, 1546, 43772, 235, 14245, 11148, 34742, 8713, 11706, 51689], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 251, "seek": 64090, "start": 667.38, "end": 669.78, "text": "投票法因为只算N次", "tokens": [51689, 37094, 41925, 11148, 34627, 14003, 19497, 45, 9487, 51809], "temperature": 0, "avg_logprob": -0.07765944687636582, "compression_ratio": 1.2803030303030303, "no_speech_prob": 1.513746766823587e-11}, {"id": 252, "seek": 66978, "start": 669.78, "end": 673.06, "text": "不加裁判是这里几个最便宜的", "tokens": [50365, 1960, 9990, 8083, 223, 2437, 97, 1541, 35102, 6336, 254, 7549, 8661, 27364, 2415, 250, 1546, 50529], "temperature": 0, "avg_logprob": -0.1600180501523225, "compression_ratio": 1.0769230769230769, "no_speech_prob": 1.5307406384112987e-11}, {"id": 253, "seek": 66978, "start": 673.06, "end": 676.3399999999999, "text": "但它依然是单模型成本的N倍", "tokens": [50529, 8395, 11284, 3254, 251, 5823, 1541, 47446, 41908, 39823, 11336, 8802, 1546, 45, 35477, 50693], "temperature": 0, "avg_logprob": -0.1600180501523225, "compression_ratio": 1.0769230769230769, "no_speech_prob": 1.5307406384112987e-11}, {"id": 254, "seek": 66978, "start": 676.3399999999999, "end": 680.66, "text": "那在这里我们如何使用模型融合呢", "tokens": [50693, 4184, 3581, 35102, 15003, 43526, 22982, 9254, 41908, 39823, 43772, 235, 14245, 6240, 50909], "temperature": 0, "avg_logprob": -0.1600180501523225, "compression_ratio": 1.0769230769230769, "no_speech_prob": 1.5307406384112987e-11}, {"id": 255, "seek": 66978, "start": 680.66, "end": 684.74, "text": "个人最快的部署方式就是写一个Skill", "tokens": [50909, 7549, 4035, 8661, 10251, 1546, 13470, 16469, 110, 9249, 27584, 5620, 5676, 247, 20182, 50, 34213, 51113], "temperature": 0, "avg_logprob": -0.1600180501523225, "compression_ratio": 1.0769230769230769, "no_speech_prob": 1.5307406384112987e-11}, {"id": 256, "seek": 68474, "start": 684.74, "end": 690.02, "text": "将Dbseek或者其他国产模型写入到这个Skill当中", "tokens": [50365, 45456, 35, 65, 405, 916, 31148, 9572, 5000, 16086, 1369, 100, 41908, 39823, 5676, 247, 14028, 4511, 15368, 50, 34213, 16233, 5975, 50629], "temperature": 0, "avg_logprob": -0.25247367031602974, "compression_ratio": 1.1236559139784945, "no_speech_prob": 1.503646859801755e-11}, {"id": 257, "seek": 68474, "start": 690.02, "end": 692.58, "text": "使用的时候直接调用就可以", "tokens": [50629, 22982, 9254, 49873, 43297, 8897, 225, 9254, 36781, 50757], "temperature": 0, "avg_logprob": -0.25247367031602974, "compression_ratio": 1.1236559139784945, "no_speech_prob": 1.503646859801755e-11}, {"id": 258, "seek": 68474, "start": 692.58, "end": 696.42, "text": "优势是无论你使用Cloud或者Codex", "tokens": [50757, 7384, 246, 5087, 123, 1541, 31364, 7422, 118, 2166, 22982, 9254, 32787, 31148, 34, 1429, 87, 50949], "temperature": 0, "avg_logprob": -0.25247367031602974, "compression_ratio": 1.1236559139784945, "no_speech_prob": 1.503646859801755e-11}, {"id": 259, "seek": 68474, "start": 696.42, "end": 697.86, "text": "添加一个Skill", "tokens": [50949, 14176, 119, 9990, 20182, 50, 34213, 51021], "temperature": 0, "avg_logprob": -0.25247367031602974, "compression_ratio": 1.1236559139784945, "no_speech_prob": 1.503646859801755e-11}, {"id": 260, "seek": 68474, "start": 697.86, "end": 702.02, "text": "设置一下K的环境变量就可以在Cloud中跑多么", "tokens": [51021, 7422, 122, 34719, 8861, 42, 1546, 8051, 107, 47885, 2129, 246, 26748, 36781, 3581, 32787, 5975, 32585, 6392, 6656, 51229], "temperature": 0, "avg_logprob": -0.25247367031602974, "compression_ratio": 1.1236559139784945, "no_speech_prob": 1.503646859801755e-11}, {"id": 261, "seek": 70202, "start": 702.02, "end": 703.3, "text": "行融合了", "tokens": [50365, 8082, 43772, 235, 14245, 2289, 50429], "temperature": 0, "avg_logprob": -0.17690206255231586, "compression_ratio": 0.8690476190476191, "no_speech_prob": 1.3896734457619075e-11}, {"id": 262, "seek": 70202, "start": 703.3, "end": 705.3, "text": "让Cloud充当裁判", "tokens": [50429, 33650, 32787, 2347, 227, 16233, 8083, 223, 2437, 97, 50529], "temperature": 0, "avg_logprob": -0.17690206255231586, "compression_ratio": 0.8690476190476191, "no_speech_prob": 1.3896734457619075e-11}, {"id": 263, "seek": 70202, "start": 705.3, "end": 708.5799999999999, "text": "当然这也会增加一些Token的用量", "tokens": [50529, 40486, 5562, 6404, 12949, 24228, 252, 9990, 38515, 51, 8406, 1546, 9254, 26748, 50693], "temperature": 0, "avg_logprob": -0.17690206255231586, "compression_ratio": 0.8690476190476191, "no_speech_prob": 1.3896734457619075e-11}, {"id": 264, "seek": 70858, "start": 708.58, "end": 712.6600000000001, "text": "我目前就是自己写了一个简单的Skill", "tokens": [50365, 1654, 39004, 5620, 17645, 5676, 247, 2289, 20182, 11249, 222, 47446, 1546, 50, 34213, 50569], "temperature": 0, "avg_logprob": -0.18144269891687342, "compression_ratio": 1.127388535031847, "no_speech_prob": 1.6258558735438022e-11}, {"id": 265, "seek": 70858, "start": 712.6600000000001, "end": 715.14, "text": "然后接通中转站的方式", "tokens": [50569, 26636, 14468, 19550, 5975, 17819, 105, 34155, 1546, 9249, 27584, 50693], "temperature": 0, "avg_logprob": -0.18144269891687342, "compression_ratio": 1.127388535031847, "no_speech_prob": 1.6258558735438022e-11}, {"id": 266, "seek": 70858, "start": 715.14, "end": 717.86, "text": "目前正在调整这个Skill", "tokens": [50693, 39004, 15789, 3581, 8897, 225, 27662, 15368, 50, 34213, 50829], "temperature": 0, "avg_logprob": -0.18144269891687342, "compression_ratio": 1.127388535031847, "no_speech_prob": 1.6258558735438022e-11}, {"id": 267, "seek": 70858, "start": 717.86, "end": 721.7, "text": "关键就在于这个充当裁判说明书的Skill", "tokens": [50829, 28053, 23049, 106, 3111, 3581, 37732, 15368, 2347, 227, 16233, 8083, 223, 2437, 97, 8090, 11100, 2930, 99, 1546, 50, 34213, 51021], "temperature": 0, "avg_logprob": -0.18144269891687342, "compression_ratio": 1.127388535031847, "no_speech_prob": 1.6258558735438022e-11}, {"id": 268, "seek": 70858, "start": 721.7, "end": 723.3000000000001, "text": "写得好并不容易", "tokens": [51021, 5676, 247, 5916, 2131, 3509, 114, 1960, 49212, 51101], "temperature": 0, "avg_logprob": -0.18144269891687342, "compression_ratio": 1.127388535031847, "no_speech_prob": 1.6258558735438022e-11}, {"id": 269, "seek": 72330, "start": 723.3, "end": 725.9399999999999, "text": "那如果你是玩本地模型的", "tokens": [50365, 4184, 13119, 32526, 19912, 8802, 10928, 41908, 39823, 1546, 50497], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 270, "seek": 72330, "start": 725.9399999999999, "end": 729.5, "text": "也可以用MergerKit这个主流开源工具", "tokens": [50497, 47935, 9254, 45757, 1321, 45626, 15368, 13557, 27854, 18937, 47402, 23323, 39806, 50675], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 271, "seek": 72330, "start": 729.5, "end": 734.42, "text": "那它支持逐层拼接合并LauraTeach", "tokens": [50675, 4184, 11284, 35488, 2215, 238, 9636, 224, 6852, 120, 14468, 14245, 3509, 114, 5478, 2991, 14233, 608, 50921], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 272, "seek": 72330, "start": 734.42, "end": 736.9799999999999, "text": "还能提供网页版零代码", "tokens": [50921, 14852, 8225, 20949, 3254, 249, 16469, 239, 10178, 113, 42096, 6306, 114, 19105, 23230, 223, 51049], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 273, "seek": 72330, "start": 736.9799999999999, "end": 739.0999999999999, "text": "无需GPU在线合并", "tokens": [51049, 31364, 32535, 38, 8115, 3581, 16853, 123, 14245, 3509, 114, 51155], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 274, "seek": 72330, "start": 739.0999999999999, "end": 744.3199999999999, "text": "如果是想同时调用GPT或者Opus这些模型的话", "tokens": [51155, 13119, 1541, 7093, 13089, 15729, 8897, 225, 9254, 38, 47, 51, 31148, 46, 31624, 5562, 13824, 41908, 39823, 44575, 51416], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 275, "seek": 72330, "start": 744.3199999999999, "end": 745.9399999999999, "text": "可以用OpenRouter", "tokens": [51416, 6723, 9254, 45569, 49, 23985, 51497], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 276, "seek": 72330, "start": 745.9399999999999, "end": 748.74, "text": "这个网站接入了数百个模型", "tokens": [51497, 15368, 16469, 239, 34155, 14468, 14028, 2289, 33188, 31906, 7549, 41908, 39823, 51637], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 277, "seek": 72330, "start": 748.74, "end": 752.5799999999999, "text": "其中的Fusion模式会把同一个Prompt", "tokens": [51637, 9572, 5975, 1546, 37, 5704, 41908, 27584, 12949, 16075, 13089, 20182, 47, 4397, 662, 51829], "temperature": 0, "avg_logprob": -0.12500045891094924, "compression_ratio": 1.1546762589928057, "no_speech_prob": 1.3272937436636933e-11}, {"id": 278, "seek": 75258, "start": 752.58, "end": 755.0200000000001, "text": "并行发送给一组模型", "tokens": [50365, 3509, 114, 8082, 28926, 29309, 23197, 2257, 10115, 226, 41908, 39823, 50487], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 279, "seek": 75258, "start": 755.0200000000001, "end": 759.46, "text": "再由裁判模型分析共识矛盾综合输出", "tokens": [50487, 8623, 23786, 8083, 223, 2437, 97, 41908, 39823, 6627, 7360, 238, 15408, 5233, 228, 5881, 249, 5419, 122, 10115, 120, 14245, 9830, 241, 7781, 50709], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 280, "seek": 75258, "start": 759.46, "end": 762.26, "text": "缺点就是价格会比较贵", "tokens": [50709, 38109, 118, 12579, 5620, 1550, 115, 30921, 12949, 11706, 9830, 225, 18464, 113, 50849], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 281, "seek": 75258, "start": 762.26, "end": 763.74, "text": "那我用下来呢", "tokens": [50849, 4184, 1654, 9254, 4438, 6912, 6240, 50923], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 282, "seek": 75258, "start": 763.74, "end": 767.24, "text": "一个2000字的输出大概就需要两美金", "tokens": [50923, 20182, 25743, 22381, 1546, 9830, 241, 7781, 32044, 3111, 35748, 36257, 9175, 19117, 51098], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 283, "seek": 75258, "start": 767.24, "end": 769.22, "text": "这个坑我已经踩过了", "tokens": [51098, 15368, 14872, 239, 1654, 49161, 41166, 102, 16866, 2289, 51197], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 284, "seek": 75258, "start": 769.22, "end": 771.6600000000001, "text": "从这几个方面来看", "tokens": [51197, 35630, 5562, 6336, 254, 7549, 39604, 6912, 4200, 51319], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 285, "seek": 75258, "start": 771.6600000000001, "end": 774.14, "text": "现在并没有特别好的融合软件", "tokens": [51319, 25040, 3509, 114, 17944, 17682, 18453, 20715, 43772, 235, 14245, 17819, 107, 20485, 51443], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 286, "seek": 75258, "start": 774.14, "end": 776.5400000000001, "text": "关键点在于算法", "tokens": [51443, 28053, 23049, 106, 12579, 3581, 37732, 19497, 11148, 51563], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 287, "seek": 75258, "start": 776.5400000000001, "end": 779.7, "text": "目前融合这条路呢也在探索中", "tokens": [51563, 39004, 43772, 235, 14245, 5562, 48837, 24658, 6240, 6404, 3581, 6900, 95, 7732, 95, 5975, 51721], "temperature": 0, "avg_logprob": -0.11425601260762819, "compression_ratio": 1.2129277566539924, "no_speech_prob": 1.1566156019049423e-11}, {"id": 288, "seek": 77970, "start": 779.7, "end": 783.1400000000001, "text": "相信未来会有更好的第三方融合工具", "tokens": [50365, 35428, 29954, 6912, 12949, 2412, 19002, 20715, 35878, 9249, 43772, 235, 14245, 23323, 39806, 50537], "temperature": 0, "avg_logprob": -0.12386868113563174, "compression_ratio": 1.1345029239766082, "no_speech_prob": 1.59888473988401e-11}, {"id": 289, "seek": 77970, "start": 783.1400000000001, "end": 785.58, "text": "那最后我们来总结一下", "tokens": [50537, 4184, 8661, 13547, 15003, 6912, 33440, 45641, 8861, 50659], "temperature": 0, "avg_logprob": -0.12386868113563174, "compression_ratio": 1.1345029239766082, "no_speech_prob": 1.59888473988401e-11}, {"id": 290, "seek": 77970, "start": 785.58, "end": 788.98, "text": "从2024年到2026年这两年", "tokens": [50659, 35630, 2009, 7911, 5157, 4511, 2009, 10880, 5157, 5562, 36257, 5157, 50829], "temperature": 0, "avg_logprob": -0.12386868113563174, "compression_ratio": 1.1345029239766082, "no_speech_prob": 1.59888473988401e-11}, {"id": 291, "seek": 77970, "start": 788.98, "end": 792.94, "text": "多模型融合从论文阶段逐渐走进大厂", "tokens": [50829, 6392, 41908, 39823, 43772, 235, 14245, 35630, 7422, 118, 17174, 10034, 114, 28427, 2215, 238, 9592, 238, 9575, 36700, 3582, 5014, 224, 51027], "temperature": 0, "avg_logprob": -0.12386868113563174, "compression_ratio": 1.1345029239766082, "no_speech_prob": 1.59888473988401e-11}, {"id": 292, "seek": 77970, "start": 792.94, "end": 796.1400000000001, "text": "各种模型厂商正在把融合逻辑", "tokens": [51027, 17516, 39810, 41908, 39823, 5014, 224, 45581, 15789, 3581, 16075, 43772, 235, 14245, 2215, 119, 9830, 239, 51187], "temperature": 0, "avg_logprob": -0.12386868113563174, "compression_ratio": 1.1345029239766082, "no_speech_prob": 1.59888473988401e-11}, {"id": 293, "seek": 79614, "start": 796.14, "end": 798.14, "text": "内化进单个模型", "tokens": [50365, 34742, 23756, 36700, 47446, 7549, 41908, 39823, 50465], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 294, "seek": 79614, "start": 798.14, "end": 801.58, "text": "今天的旗舰模型大多是混合专家架构", "tokens": [50465, 34947, 4479, 245, 10256, 108, 41908, 39823, 3582, 6392, 1541, 48640, 14245, 940, 241, 5155, 7360, 114, 7360, 226, 50637], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 295, "seek": 79614, "start": 801.58, "end": 806.02, "text": "本质就是把多专家融合进一个模型内部", "tokens": [50637, 8802, 18464, 101, 5620, 16075, 6392, 940, 241, 5155, 43772, 235, 14245, 36700, 20182, 41908, 39823, 34742, 13470, 50859], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 296, "seek": 79614, "start": 806.02, "end": 809.06, "text": "但这并不代表外部融合会消失", "tokens": [50859, 8395, 5562, 3509, 114, 1960, 19105, 17571, 12022, 13470, 43772, 235, 14245, 12949, 28837, 28564, 51011], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 297, "seek": 79614, "start": 809.06, "end": 810.26, "text": "恰恰相反", "tokens": [51011, 11845, 108, 11845, 108, 15106, 22138, 51071], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 298, "seek": 79614, "start": 810.26, "end": 815.66, "text": "当你同时调用多家厂商能力边界完全不同的模型时", "tokens": [51071, 16233, 2166, 13089, 15729, 8897, 225, 9254, 6392, 5155, 5014, 224, 45581, 8225, 13486, 40503, 21185, 37100, 47123, 1546, 41908, 39823, 15729, 51341], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 299, "seek": 79614, "start": 815.66, "end": 820.22, "text": "外部融合能突破任何一家单一模型的上限", "tokens": [51341, 12022, 13470, 43772, 235, 14245, 8225, 40859, 39560, 26443, 11906, 2257, 5155, 47446, 2257, 41908, 39823, 1546, 5708, 43446, 51569], "temperature": 0, "avg_logprob": -0.10326986625546315, "compression_ratio": 1.334862385321101, "no_speech_prob": 1.857823443696116e-11}, {"id": 300, "seek": 82022, "start": 820.22, "end": 823.74, "text": "这个是单个MOE模型做不到的", "tokens": [50365, 15368, 1541, 47446, 7549, 18976, 36, 41908, 39823, 10907, 35728, 1546, 50541], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 301, "seek": 82022, "start": 823.74, "end": 826.4200000000001, "text": "比如每家都有自己的训练员", "tokens": [50541, 36757, 23664, 5155, 48121, 17645, 1546, 7422, 255, 10115, 225, 3606, 246, 50675], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 302, "seek": 82022, "start": 826.4200000000001, "end": 829.38, "text": "解锁信息也有特定的网站", "tokens": [50675, 17278, 23049, 223, 17665, 26460, 6404, 2412, 17682, 12088, 1546, 16469, 239, 34155, 50823], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 303, "seek": 82022, "start": 829.38, "end": 832.46, "text": "比如Gminite就可以搜索YouTube", "tokens": [50823, 36757, 38, 2367, 642, 36781, 162, 14987, 7732, 95, 3223, 41173, 50977], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 304, "seek": 82022, "start": 832.46, "end": 835.3000000000001, "text": "而豆包可以搜索抖音", "tokens": [50977, 11070, 45169, 23305, 6723, 162, 14987, 7732, 95, 7235, 244, 18034, 51119], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 305, "seek": 82022, "start": 835.3000000000001, "end": 835.86, "text": "好了", "tokens": [51119, 12621, 51147], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 306, "seek": 82022, "start": 835.86, "end": 838.5, "text": "这就是本期视频的全部内容", "tokens": [51147, 5562, 5620, 8802, 16786, 40656, 39752, 1546, 38714, 34742, 25750, 51279], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 307, "seek": 82022, "start": 838.5, "end": 841.86, "text": "欢迎大家点赞留言订阅转发", "tokens": [51279, 28566, 17699, 6868, 12579, 5266, 252, 43681, 7422, 95, 10034, 227, 17819, 105, 28926, 51447], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 308, "seek": 82022, "start": 841.86, "end": 842.62, "text": "我是刘延", "tokens": [51447, 15914, 2437, 246, 17527, 114, 51485], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}, {"id": 309, "seek": 82022, "start": 842.62, "end": 844.5, "text": "我们下个视频见", "tokens": [51485, 15003, 4438, 7549, 40656, 39752, 23813, 51579], "temperature": 0, "avg_logprob": -0.15660131703252378, "compression_ratio": 1.139344262295082, "no_speech_prob": 1.8247832064832714e-11}], "language": "zh"}