{"text": "仅凭模型后训练的优化模型性能就能暴涨超过30%一个推理激活的参数量只有13B的模型居然就逼近了Cloud Open 4.8模型的性能这就是Deepseek V4 Flash正式版时隔三个月Deepseek V4的正式版模型终于陆续登场就在7月31号下午V4 Flash的正式版率先亮相相比三个月前的阅览版正式版Flash模型保持的架构和模型参数不变仍然是284B总参数量13B激活参数的MOE模型但正式版重新进行了模型的后训练不仅Agent和编程的性能实现了跨越式的增长而且模型的响应格式也进行了全面升级在原先的OpenEye Compilation API的基础上进一步适配了OpenEye的Responses API并且官宣正式全面接入Codex的生态本期外科为你深度解读Deepseek V4 Flash模型特性和性能评测结果并为大家详细介绍V4模型接入全新的Parnest Agent APIResponses API的使用方法以及接入Codex的完整流程帮助大家离门槛上手使用全新的Deepseek V4正式版模型同时国外科的文字版资料OpenEye Responses API的使用方法以及Codex接入的文字版教程都已经上限至复犯AI社区大家扫描频道的二维码即可免费领取首先是性能方面根据官方发布的评测结果Deepseek V4 Flash已经全面超越了GM5.2和Deepseek V4 Pro的预览版甚至在一些评分指标上已经逼近了OP4.8模型而根据实际的测试结果来看模型的阉城性能Agent性能以及对真实物理世界的理解能力都进步巨大甚至困扰Deepseek已久的鸭子骑自营车的SVG动画生成都被V4 Flash正式版轻松拿下简直和此前的V4预览版判若两个模型当然如果说性能进步是常规迭代那么本次V4正式版模型关心拥抱OpenAI的Responses API技术体系则预示着正式版模型将会是全面接容OpenAICodex技术生态的原生Agent基座模型而这对于开发者来说无疑是一次巨大的第一层API开发范式的转变同时也预示着跋越即将发布的Deepseek Harness Agent将会和OpenAI的基础通信范式保持一致那么接下来就让我给大家简单解释下到底什么是Responses API以及其基础使用方法然后再详细介绍如何将Deepseek V4正式版模型接入Kodaks在过去很长长时间OpenAI制定的Chat Compilations通信标准是唯一跨模型统一的模型底层通信规范那么哪怕是前段时间刚上线不久的Kimi K3模型底层仍然采用的是Chat Compilations作为基础模型响应格式这其实是一种面向消息对列的高效编辑的一类API开发者可以非常高效地完成Messages的列表编辑并通过修改消息列表来引导模型完成任务但或许是因为消息对列的编辑只适合打造聊天机器人而不适合打造agent于是去年3月11号OpenAI推出了全新的全面适配agent任务的模型调用新版是Responses API而我当时也在第一时间对其进行了解读和评测不同于Chat Compilations API是面向对话来构建应用Responses API是一种面向任务来构建应用的更高级的API用户只需要描述任务关联工具说的题词词就能自动构建一个agent loop循环非常高效或者你也可以将其理解成Responses API就是OpenAI版的LongChain而现在DeepC V4正式版模型也是国内首个全面接入Responses API的模型而我们在第一时间对其整体性能表现进行了深度评测在海浪工具Skills和MCP调度情况下运行非常稳定同时我们在第一时间制作了DeepC Responses API的接入指南和使用教程并上线至复犯AI社区大扫码即可免费领取当然对于DeepC V4模型来说全面拥抱Responses API体系也就意味着可以不贫接入Codex的完整功能生态而官方给出的V4正式版接入Codex的流程也非常简单只需要一行命令即可同步切换Codex Cli,Codex App和ChainGBT的基座模型将其切换为DeepC V4正式版模型同时完成原始配置的备份并且可以随时复原以Windows系统为例完整切换基座模型的流程如下首先先打开PowerShell然后输入IRM命令从DeepC官方下载Codex配置文件修改脚本并自动运行然后根据提示进行模型选取或者恢复原始配置配置模型可以根据实际情况选择V4 Flash或者Pro正式版模型并根据提示设置API Key设置完成后只要看到Installation Complete的提示就说明配置成功而如果之后要切换模型或者恢复Codex的原始配置则再次运行相同脚本并进行相应选择即可然后打开HitGPT或者Codex应用看到左下方是DeepSeq并且模型是自定义就说明已经配置成功了接下来即可进行任意对话或者执行各类任务整个过程非常简单并且Codex Click也会同步发生修改而紧接着我们就在Codex命令行中对V4 Flash正式版模型进行一轮深度评测期间我们让V4 Flash围绕着一个3万多行多模态PDF检锁系统进行代码审查和结构优化一条指令即可完成整个Codex的Plan Task Subagent Web Search等各项功能的驱动并最终完成代码库的审核优化测试一整观者流程非常顺畅高效这次DeepSeq V4 Flash模型发布非常迅速在API全面上线同时模型权重也正式在Hugging Face上开源当然V4 Flash其实还只是开位赛还只是接下来V4 Pro正式版和DeepSeq版Cloud CodeDeepSeq Harness Agent发布的前奏按照30%的性能涨幅预期我们有留相信V4 Pro正式版将会是全球第一款性能全面超越OPPO4.8的全新一代开源旗舰模型好了 以上就是本期视频的全部内容感谢大家的关注和三连支持更多DeepSeq V4正式版的学习资料技术文档 模型部署跟Agent开发教程等都已经上限至复办AI技术社区大家扫码即可领取五十九天 专注大家提供最扎实优质的技术内容我们下个视频 再见", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 1.6400000000000001, "text": "仅凭模型后训练的优化", "tokens": [50365, 1550, 227, 6336, 255, 41908, 39823, 13547, 7422, 255, 10115, 225, 1546, 7384, 246, 23756, 50447], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 1, "seek": 0, "start": 1.6400000000000001, "end": 4.16, "text": "模型性能就能暴涨超过30%", "tokens": [50447, 41908, 39823, 21686, 8225, 3111, 8225, 23826, 112, 35681, 101, 19869, 16866, 3446, 4, 50573], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 2, "seek": 0, "start": 4.16, "end": 7.24, "text": "一个推理激活的参数量只有13B的模型", "tokens": [50573, 20182, 33597, 13876, 26373, 222, 25956, 1546, 2129, 224, 33188, 26748, 35244, 7668, 33, 1546, 41908, 39823, 50727], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 3, "seek": 0, "start": 7.24, "end": 9.98, "text": "居然就逼近了Cloud Open 4.8模型的性能", "tokens": [50727, 9636, 227, 5823, 3111, 2215, 120, 17463, 2289, 32787, 7238, 1017, 13, 23, 41908, 39823, 1546, 21686, 8225, 50864], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 4, "seek": 0, "start": 9.98, "end": 12.42, "text": "这就是Deepseek V4 Flash正式版", "tokens": [50864, 5562, 5620, 11089, 595, 405, 916, 691, 19, 20232, 15789, 27584, 42096, 50986], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 5, "seek": 0, "start": 12.42, "end": 13.38, "text": "时隔三个月", "tokens": [50986, 15729, 165, 1206, 10960, 7549, 6939, 51034], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 6, "seek": 0, "start": 13.38, "end": 16.4, "text": "Deepseek V4的正式版模型终于陆续登场", "tokens": [51034, 11089, 595, 405, 916, 691, 19, 1546, 15789, 27584, 42096, 41908, 39823, 10115, 230, 37732, 8842, 228, 10115, 255, 25874, 50255, 51185], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 7, "seek": 0, "start": 16.4, "end": 18.06, "text": "就在7月31号下午", "tokens": [51185, 3111, 3581, 22, 6939, 12967, 26987, 4438, 44237, 51268], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 8, "seek": 0, "start": 18.06, "end": 20.38, "text": "V4 Flash的正式版率先亮相", "tokens": [51268, 53, 19, 20232, 1546, 15789, 27584, 42096, 44866, 10108, 22991, 15106, 51384], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 9, "seek": 0, "start": 20.38, "end": 22.18, "text": "相比三个月前的阅览版", "tokens": [51384, 15106, 11706, 10960, 7549, 6939, 8945, 1546, 10034, 227, 6758, 230, 42096, 51474], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 10, "seek": 0, "start": 22.18, "end": 24.78, "text": "正式版Flash模型保持的架构和模型参数不变", "tokens": [51474, 15789, 27584, 42096, 25680, 1299, 41908, 39823, 24302, 17694, 1546, 7360, 114, 7360, 226, 12565, 41908, 39823, 2129, 224, 33188, 1960, 2129, 246, 51604], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 11, "seek": 0, "start": 24.78, "end": 27.060000000000002, "text": "仍然是284B总参数量", "tokens": [51604, 1550, 235, 5823, 1541, 11205, 19, 33, 33440, 2129, 224, 33188, 26748, 51718], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 12, "seek": 0, "start": 27.060000000000002, "end": 29.16, "text": "13B激活参数的MOE模型", "tokens": [51718, 7668, 33, 26373, 222, 25956, 2129, 224, 33188, 1546, 18976, 36, 41908, 39823, 51823], "temperature": 0, "avg_logprob": -0.11022486005510602, "compression_ratio": 1.363914373088685, "no_speech_prob": 2.3101987337015295e-11}, {"id": 13, "seek": 2916, "start": 29.16, "end": 32.02, "text": "但正式版重新进行了模型的后训练", "tokens": [50365, 8395, 15789, 27584, 42096, 12624, 12560, 36700, 46606, 41908, 39823, 1546, 13547, 7422, 255, 10115, 225, 50508], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 14, "seek": 2916, "start": 32.02, "end": 35.4, "text": "不仅Agent和编程的性能实现了跨越式的增长", "tokens": [50508, 1960, 1550, 227, 32, 6930, 12565, 38109, 244, 29649, 1546, 21686, 8225, 24726, 20204, 2289, 6563, 101, 25761, 27584, 1546, 24228, 252, 32271, 50677], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 15, "seek": 2916, "start": 35.4, "end": 38.36, "text": "而且模型的响应格式也进行了全面升级", "tokens": [50677, 22942, 41908, 39823, 1546, 3858, 235, 44297, 30921, 27584, 6404, 36700, 46606, 11319, 8833, 41670, 16853, 100, 50825], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 16, "seek": 2916, "start": 38.36, "end": 40.94, "text": "在原先的OpenEye Compilation API的基础上", "tokens": [50825, 3581, 19683, 10108, 1546, 45569, 36, 1200, 6620, 16067, 9362, 1546, 26008, 38114, 222, 5708, 50954], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 17, "seek": 2916, "start": 40.94, "end": 43.22, "text": "进一步适配了OpenEye的Responses API", "tokens": [50954, 36700, 2257, 31429, 2215, 224, 38846, 2289, 45569, 36, 1200, 1546, 49, 13361, 892, 279, 9362, 51068], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 18, "seek": 2916, "start": 43.22, "end": 46.06, "text": "并且官宣正式全面接入Codex的生态", "tokens": [51068, 3509, 114, 20334, 31929, 2415, 96, 15789, 27584, 11319, 8833, 14468, 14028, 34, 1429, 87, 1546, 8244, 3757, 223, 51210], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 19, "seek": 2916, "start": 46.06, "end": 50.94, "text": "本期外科为你深度解读Deepseek V4 Flash模型特性和性能评测结果", "tokens": [51210, 8802, 16786, 12022, 42091, 13992, 2166, 24043, 13127, 17278, 5233, 119, 11089, 595, 405, 916, 691, 19, 20232, 41908, 39823, 17682, 21686, 12565, 21686, 8225, 5233, 226, 11038, 233, 45641, 9319, 51454], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 20, "seek": 2916, "start": 50.94, "end": 53.28, "text": "并为大家详细介绍V4模型", "tokens": [51454, 3509, 114, 13992, 6868, 5233, 99, 10115, 228, 30312, 10115, 235, 53, 19, 41908, 39823, 51571], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 21, "seek": 2916, "start": 53.28, "end": 55.379999999999995, "text": "接入全新的Parnest Agent API", "tokens": [51571, 14468, 14028, 11319, 12560, 1546, 47, 1083, 377, 27174, 9362, 51676], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 22, "seek": 2916, "start": 55.379999999999995, "end": 57.54, "text": "Responses API的使用方法", "tokens": [51676, 49, 13361, 892, 279, 9362, 1546, 22982, 9254, 9249, 11148, 51784], "temperature": 0, "avg_logprob": -0.11215065435035941, "compression_ratio": 1.2737430167597765, "no_speech_prob": 1.308055053161894e-11}, {"id": 23, "seek": 5754, "start": 57.54, "end": 59.44, "text": "以及接入Codex的完整流程", "tokens": [50365, 40282, 14468, 14028, 34, 1429, 87, 1546, 14128, 27662, 27854, 29649, 50460], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 24, "seek": 5754, "start": 59.44, "end": 63.379999999999995, "text": "帮助大家离门槛上手使用全新的Deepseek V4正式版模型", "tokens": [50460, 4845, 106, 37618, 6868, 18614, 119, 8259, 101, 24880, 249, 5708, 11389, 22982, 9254, 11319, 12560, 1546, 11089, 595, 405, 916, 691, 19, 15789, 27584, 42096, 41908, 39823, 50657], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 25, "seek": 5754, "start": 63.379999999999995, "end": 65.26, "text": "同时国外科的文字版资料", "tokens": [50657, 13089, 15729, 16086, 12022, 42091, 1546, 17174, 22381, 42096, 5266, 226, 33404, 50751], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 26, "seek": 5754, "start": 65.26, "end": 67.5, "text": "OpenEye Responses API的使用方法", "tokens": [50751, 45569, 36, 1200, 46003, 279, 9362, 1546, 22982, 9254, 9249, 11148, 50863], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 27, "seek": 5754, "start": 67.5, "end": 69.8, "text": "以及Codex接入的文字版教程", "tokens": [50863, 40282, 34, 1429, 87, 14468, 14028, 1546, 17174, 22381, 42096, 21936, 29649, 50978], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 28, "seek": 5754, "start": 69.8, "end": 71.94, "text": "都已经上限至复犯AI社区", "tokens": [50978, 7182, 49161, 5708, 43446, 20844, 1787, 235, 35276, 107, 48698, 27658, 9937, 118, 51085], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 29, "seek": 5754, "start": 71.94, "end": 74.46000000000001, "text": "大家扫描频道的二维码即可免费领取", "tokens": [51085, 6868, 3416, 104, 11673, 237, 39752, 6025, 1546, 11217, 10115, 112, 23230, 223, 39127, 4429, 2347, 235, 18464, 117, 12501, 228, 29436, 51211], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 30, "seek": 5754, "start": 74.46000000000001, "end": 76.22, "text": "首先是性能方面", "tokens": [51211, 36490, 1541, 21686, 8225, 39604, 51299], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 31, "seek": 5754, "start": 76.22, "end": 78.44, "text": "根据官方发布的评测结果", "tokens": [51299, 31337, 26075, 106, 31929, 9249, 28926, 34688, 1546, 5233, 226, 11038, 233, 45641, 9319, 51410], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 32, "seek": 5754, "start": 78.44, "end": 81.62, "text": "Deepseek V4 Flash已经全面超越了GM5.2", "tokens": [51410, 11089, 595, 405, 916, 691, 19, 20232, 49161, 11319, 8833, 19869, 25761, 2289, 25152, 20, 13, 17, 51569], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 33, "seek": 5754, "start": 81.62, "end": 83.44, "text": "和Deepseek V4 Pro的预览版", "tokens": [51569, 12565, 11089, 595, 405, 916, 691, 19, 1705, 1546, 12501, 226, 6758, 230, 42096, 51660], "temperature": 0, "avg_logprob": -0.11286195640355512, "compression_ratio": 1.2052785923753666, "no_speech_prob": 1.9018423988437227e-11}, {"id": 34, "seek": 8344, "start": 83.44, "end": 87.28, "text": "甚至在一些评分指标上已经逼近了OP4.8模型", "tokens": [50365, 17556, 20844, 3581, 38515, 5233, 226, 6627, 25922, 162, 3921, 5708, 49161, 2215, 120, 17463, 2289, 12059, 19, 13, 23, 41908, 39823, 50557], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 35, "seek": 8344, "start": 87.28, "end": 89.8, "text": "而根据实际的测试结果来看", "tokens": [50557, 11070, 31337, 26075, 106, 24726, 8842, 227, 1546, 11038, 233, 5233, 243, 45641, 9319, 6912, 4200, 50683], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 36, "seek": 8344, "start": 89.8, "end": 91.32, "text": "模型的阉城性能", "tokens": [50683, 41908, 39823, 1546, 10034, 231, 45277, 21686, 8225, 50759], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 37, "seek": 8344, "start": 91.32, "end": 92.2, "text": "Agent性能", "tokens": [50759, 32, 6930, 21686, 8225, 50803], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 38, "seek": 8344, "start": 92.2, "end": 95.86, "text": "以及对真实物理世界的理解能力都进步巨大", "tokens": [50803, 40282, 8713, 6303, 24726, 23516, 13876, 24486, 1546, 13876, 17278, 8225, 13486, 7182, 36700, 31429, 5238, 101, 3582, 50986], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 39, "seek": 8344, "start": 95.86, "end": 98.06, "text": "甚至困扰Deepseek已久的", "tokens": [50986, 17556, 20844, 3919, 108, 3416, 108, 11089, 595, 405, 916, 15701, 25320, 1546, 51096], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 40, "seek": 8344, "start": 98.06, "end": 100.68, "text": "鸭子骑自营车的SVG动画生成", "tokens": [51096, 165, 116, 255, 7626, 49657, 239, 9722, 10674, 98, 17819, 99, 1546, 50, 53, 38, 34961, 27126, 8244, 11336, 51227], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 41, "seek": 8344, "start": 100.68, "end": 103.08, "text": "都被V4 Flash正式版轻松拿下", "tokens": [51227, 7182, 23238, 53, 19, 20232, 15789, 27584, 42096, 17819, 119, 36897, 24351, 4438, 51347], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 42, "seek": 8344, "start": 103.08, "end": 105.5, "text": "简直和此前的V4预览版", "tokens": [51347, 11249, 222, 16186, 12565, 17947, 8945, 1546, 53, 19, 12501, 226, 6758, 230, 42096, 51468], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 43, "seek": 8344, "start": 105.5, "end": 106.82, "text": "判若两个模型", "tokens": [51468, 2437, 97, 13736, 98, 36257, 7549, 41908, 39823, 51534], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 44, "seek": 8344, "start": 106.82, "end": 110.02, "text": "当然如果说性能进步是常规迭代", "tokens": [51534, 40486, 13119, 8090, 21686, 8225, 36700, 31429, 1541, 11279, 6758, 226, 3316, 255, 19105, 51694], "temperature": 0, "avg_logprob": -0.1420759079773302, "compression_ratio": 1.1526479750778815, "no_speech_prob": 1.847844620372907e-11}, {"id": 45, "seek": 11002, "start": 110.02, "end": 114.75999999999999, "text": "那么本次V4正式版模型关心拥抱OpenAI的Responses API技术体系", "tokens": [50365, 35693, 8802, 9487, 53, 19, 15789, 27584, 42096, 41908, 39823, 28053, 7945, 6852, 98, 38382, 45569, 48698, 1546, 49, 13361, 892, 279, 9362, 32502, 1474, 107, 29485, 25368, 50602], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 46, "seek": 11002, "start": 114.75999999999999, "end": 118.06, "text": "则预示着正式版模型将会是全面接容OpenAI", "tokens": [50602, 2437, 247, 12501, 226, 25696, 20708, 15789, 27584, 42096, 41908, 39823, 45456, 12949, 1541, 11319, 8833, 14468, 25750, 45569, 48698, 50767], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 47, "seek": 11002, "start": 118.06, "end": 121.53999999999999, "text": "Codex技术生态的原生Agent基座模型", "tokens": [50767, 34, 1429, 87, 32502, 1474, 107, 8244, 3757, 223, 1546, 19683, 8244, 32, 6930, 26008, 6346, 100, 41908, 39823, 50941], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 48, "seek": 11002, "start": 121.53999999999999, "end": 122.97999999999999, "text": "而这对于开发者来说", "tokens": [50941, 11070, 5562, 8713, 37732, 18937, 28926, 12444, 6912, 8090, 51013], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 49, "seek": 11002, "start": 122.97999999999999, "end": 126.14, "text": "无疑是一次巨大的第一层API开发范式的转变", "tokens": [51013, 31364, 18140, 239, 1541, 27505, 5238, 101, 39156, 18049, 9636, 224, 4715, 40, 18937, 28926, 27395, 225, 27584, 1546, 17819, 105, 2129, 246, 51171], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 50, "seek": 11002, "start": 126.14, "end": 130.22, "text": "同时也预示着跋越即将发布的Deepseek Harness Agent", "tokens": [51171, 13089, 15729, 6404, 12501, 226, 25696, 20708, 6563, 233, 25761, 39127, 45456, 28926, 34688, 1546, 11089, 595, 405, 916, 389, 16937, 27174, 51375], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 51, "seek": 11002, "start": 130.22, "end": 133.32, "text": "将会和OpenAI的基础通信范式保持一致", "tokens": [51375, 45456, 12949, 12565, 45569, 48698, 1546, 26008, 38114, 222, 19550, 17665, 27395, 225, 27584, 24302, 17694, 2257, 6784, 112, 51530], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 52, "seek": 11002, "start": 133.32, "end": 135.82, "text": "那么接下来就让我给大家简单解释下", "tokens": [51530, 35693, 14468, 4438, 6912, 3111, 33650, 1654, 23197, 6868, 11249, 222, 47446, 17278, 5873, 232, 4438, 51655], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 53, "seek": 11002, "start": 135.82, "end": 137.92, "text": "到底什么是Responses API", "tokens": [51655, 33883, 10440, 1541, 49, 13361, 892, 279, 9362, 51760], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 54, "seek": 11002, "start": 137.92, "end": 139.34, "text": "以及其基础使用方法", "tokens": [51760, 40282, 9572, 26008, 38114, 222, 22982, 9254, 9249, 11148, 51831], "temperature": 0, "avg_logprob": -0.11516429216433795, "compression_ratio": 1.292817679558011, "no_speech_prob": 1.7497064561111664e-11}, {"id": 55, "seek": 13934, "start": 139.34, "end": 143.9, "text": "然后再详细介绍如何将Deepseek V4正式版模型接入Kodaks", "tokens": [50365, 26636, 8623, 5233, 99, 10115, 228, 30312, 10115, 235, 43526, 45456, 11089, 595, 405, 916, 691, 19, 15789, 27584, 42096, 41908, 39823, 14468, 14028, 42, 378, 5461, 50593], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 56, "seek": 13934, "start": 143.9, "end": 145.28, "text": "在过去很长长时间", "tokens": [50593, 3581, 16866, 6734, 4563, 32271, 32271, 44848, 50662], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 57, "seek": 13934, "start": 145.28, "end": 148.24, "text": "OpenAI制定的Chat Compilations通信标准", "tokens": [50662, 45569, 48698, 25491, 12088, 1546, 41683, 6620, 388, 763, 19550, 17665, 162, 3921, 6336, 228, 50810], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 58, "seek": 13934, "start": 148.24, "end": 151.4, "text": "是唯一跨模型统一的模型底层通信规范", "tokens": [50810, 1541, 17198, 107, 2257, 6563, 101, 41908, 39823, 10115, 253, 2257, 1546, 41908, 39823, 22816, 9636, 224, 19550, 17665, 6758, 226, 27395, 225, 50968], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 59, "seek": 13934, "start": 151.4, "end": 155.12, "text": "那么哪怕是前段时间刚上线不久的Kimi K3模型", "tokens": [50968, 35693, 17028, 21164, 1541, 8945, 28427, 44848, 49160, 5708, 16853, 123, 1960, 25320, 1546, 42, 10121, 591, 18, 41908, 39823, 51154], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 60, "seek": 13934, "start": 155.12, "end": 159.06, "text": "底层仍然采用的是Chat Compilations作为基础模型响应格式", "tokens": [51154, 22816, 9636, 224, 1550, 235, 5823, 5873, 229, 9254, 24620, 41683, 6620, 388, 763, 11914, 13992, 26008, 38114, 222, 41908, 39823, 3858, 235, 44297, 30921, 27584, 51351], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 61, "seek": 13934, "start": 159.06, "end": 162.92000000000002, "text": "这其实是一种面向消息对列的高效编辑的一类API", "tokens": [51351, 5562, 41646, 1541, 2257, 39810, 8833, 24282, 28837, 26460, 8713, 43338, 1546, 12979, 43076, 38109, 244, 9830, 239, 1546, 2257, 22113, 119, 4715, 40, 51544], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 62, "seek": 13934, "start": 162.92000000000002, "end": 166.16, "text": "开发者可以非常高效地完成Messages的列表编辑", "tokens": [51544, 18937, 28926, 12444, 6723, 14392, 12979, 43076, 10928, 41509, 44, 442, 1660, 1546, 43338, 17571, 38109, 244, 9830, 239, 51706], "temperature": 0, "avg_logprob": -0.098107258034818, "compression_ratio": 1.2372881355932204, "no_speech_prob": 1.525617653042044e-11}, {"id": 63, "seek": 16616, "start": 166.16, "end": 169.6, "text": "并通过修改消息列表来引导模型完成任务", "tokens": [50365, 3509, 114, 19550, 16866, 7792, 106, 34490, 28837, 26460, 43338, 17571, 6912, 41301, 4510, 120, 41908, 39823, 41509, 26443, 5087, 94, 50537], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 64, "seek": 16616, "start": 169.6, "end": 172.04, "text": "但或许是因为消息对列的编辑", "tokens": [50537, 8395, 19780, 7422, 116, 1541, 34627, 28837, 26460, 8713, 43338, 1546, 38109, 244, 9830, 239, 50659], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 65, "seek": 16616, "start": 172.04, "end": 175.1, "text": "只适合打造聊天机器人而不适合打造agent", "tokens": [50659, 14003, 2215, 224, 14245, 12467, 37583, 40096, 6135, 37960, 34386, 4035, 11070, 1960, 2215, 224, 14245, 12467, 37583, 559, 317, 50812], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 66, "seek": 16616, "start": 175.1, "end": 176.56, "text": "于是去年3月11号", "tokens": [50812, 37732, 1541, 6734, 5157, 18, 6939, 5348, 26987, 50885], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 67, "seek": 16616, "start": 176.56, "end": 181.04, "text": "OpenAI推出了全新的全面适配agent任务的模型调用", "tokens": [50885, 45569, 48698, 33597, 7781, 2289, 11319, 12560, 1546, 11319, 8833, 2215, 224, 38846, 559, 317, 26443, 5087, 94, 1546, 41908, 39823, 8897, 225, 9254, 51109], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 68, "seek": 16616, "start": 181.04, "end": 182.68, "text": "新版是Responses API", "tokens": [51109, 12560, 42096, 1541, 49, 13361, 892, 279, 9362, 51191], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 69, "seek": 16616, "start": 182.68, "end": 185.4, "text": "而我当时也在第一时间对其进行了解读和评测", "tokens": [51191, 11070, 1654, 16233, 15729, 6404, 3581, 18049, 44848, 8713, 9572, 36700, 46606, 17278, 5233, 119, 12565, 5233, 226, 11038, 233, 51327], "temperature": 0, "avg_logprob": -0.09862810192686139, "compression_ratio": 1.1476014760147601, "no_speech_prob": 1.8919090252755844e-11}, {"id": 70, "seek": 18540, "start": 185.4, "end": 189.48000000000002, "text": "不同于Chat Compilations API是面向对话来构建应用", "tokens": [50365, 47123, 37732, 41683, 6620, 388, 763, 9362, 1541, 8833, 24282, 8713, 21596, 6912, 7360, 226, 34157, 44297, 9254, 50569], "temperature": 0, "avg_logprob": -0.12726181431820519, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5628102978393343e-11}, {"id": 71, "seek": 18540, "start": 189.48000000000002, "end": 194.28, "text": "Responses API是一种面向任务来构建应用的更高级的API", "tokens": [50569, 49, 13361, 892, 279, 9362, 1541, 2257, 39810, 8833, 24282, 26443, 5087, 94, 6912, 7360, 226, 34157, 44297, 9254, 1546, 19002, 12979, 16853, 100, 1546, 4715, 40, 50809], "temperature": 0, "avg_logprob": -0.12726181431820519, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5628102978393343e-11}, {"id": 72, "seek": 18540, "start": 194.28, "end": 196.98000000000002, "text": "用户只需要描述任务关联工具", "tokens": [50809, 9254, 1486, 115, 14003, 35748, 11673, 237, 3316, 108, 26443, 5087, 94, 28053, 8171, 242, 23323, 39806, 50944], "temperature": 0, "avg_logprob": -0.12726181431820519, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5628102978393343e-11}, {"id": 73, "seek": 18540, "start": 196.98000000000002, "end": 200.92000000000002, "text": "说的题词词就能自动构建一个agent loop循环非常高效", "tokens": [50944, 8090, 1546, 30716, 5233, 235, 5233, 235, 3111, 8225, 9722, 34961, 7360, 226, 34157, 20182, 559, 317, 6367, 2172, 103, 8051, 107, 14392, 12979, 43076, 51141], "temperature": 0, "avg_logprob": -0.12726181431820519, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5628102978393343e-11}, {"id": 74, "seek": 18540, "start": 200.92000000000002, "end": 205.08, "text": "或者你也可以将其理解成Responses API就是OpenAI版的LongChain", "tokens": [51141, 31148, 2166, 47935, 45456, 9572, 13876, 17278, 11336, 49, 13361, 892, 279, 9362, 5620, 45569, 48698, 42096, 1546, 43, 556, 6546, 491, 51349], "temperature": 0, "avg_logprob": -0.12726181431820519, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5628102978393343e-11}, {"id": 75, "seek": 18540, "start": 205.08, "end": 210.22, "text": "而现在DeepC V4正式版模型也是国内首个全面接入Responses API的模型", "tokens": [51349, 11070, 25040, 11089, 595, 34, 691, 19, 15789, 27584, 42096, 41908, 39823, 22021, 16086, 34742, 25444, 7549, 11319, 8833, 14468, 14028, 49, 13361, 892, 279, 9362, 1546, 41908, 39823, 51606], "temperature": 0, "avg_logprob": -0.12726181431820519, "compression_ratio": 1.2420382165605095, "no_speech_prob": 1.5628102978393343e-11}, {"id": 76, "seek": 21022, "start": 210.22, "end": 214.04, "text": "而我们在第一时间对其整体性能表现进行了深度评测", "tokens": [50365, 11070, 15003, 3581, 18049, 44848, 8713, 9572, 27662, 29485, 21686, 8225, 17571, 20204, 36700, 46606, 24043, 13127, 5233, 226, 11038, 233, 50556], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 77, "seek": 21022, "start": 214.04, "end": 217.92, "text": "在海浪工具Skills和MCP调度情况下运行非常稳定", "tokens": [50556, 3581, 20078, 11038, 103, 23323, 39806, 50, 74, 2565, 12565, 44, 20049, 8897, 225, 13127, 46514, 4438, 3316, 238, 8082, 14392, 10415, 111, 12088, 50750], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 78, "seek": 21022, "start": 217.92, "end": 222.5, "text": "同时我们在第一时间制作了DeepC Responses API的接入指南和使用教程", "tokens": [50750, 13089, 15729, 15003, 3581, 18049, 44848, 25491, 11914, 2289, 11089, 595, 34, 22480, 892, 279, 9362, 1546, 14468, 14028, 25922, 31021, 12565, 22982, 9254, 21936, 29649, 50979], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 79, "seek": 21022, "start": 222.5, "end": 225.52, "text": "并上线至复犯AI社区大扫码即可免费领取", "tokens": [50979, 3509, 114, 5708, 16853, 123, 20844, 1787, 235, 35276, 107, 48698, 27658, 9937, 118, 3582, 3416, 104, 23230, 223, 39127, 4429, 2347, 235, 18464, 117, 12501, 228, 29436, 51130], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 80, "seek": 21022, "start": 225.52, "end": 227.92, "text": "当然对于DeepC V4模型来说", "tokens": [51130, 40486, 8713, 37732, 11089, 595, 34, 691, 19, 41908, 39823, 6912, 8090, 51250], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 81, "seek": 21022, "start": 227.92, "end": 232.84, "text": "全面拥抱Responses API体系也就意味着可以不贫接入Codex的完整功能生态", "tokens": [51250, 11319, 8833, 6852, 98, 38382, 49, 13361, 892, 279, 9362, 29485, 25368, 6404, 3111, 9042, 17268, 20708, 6723, 1960, 18464, 104, 14468, 14028, 34, 1429, 87, 1546, 14128, 27662, 32311, 8225, 8244, 3757, 223, 51496], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 82, "seek": 21022, "start": 232.84, "end": 237.07999999999998, "text": "而官方给出的V4正式版接入Codex的流程也非常简单", "tokens": [51496, 11070, 31929, 9249, 23197, 7781, 1546, 53, 19, 15789, 27584, 42096, 14468, 14028, 34, 1429, 87, 1546, 27854, 29649, 6404, 14392, 11249, 222, 47446, 51708], "temperature": 0, "avg_logprob": -0.10938097979571368, "compression_ratio": 1.2583333333333333, "no_speech_prob": 1.4740366913179592e-11}, {"id": 83, "seek": 23708, "start": 237.08, "end": 242.72, "text": "只需要一行命令即可同步切换Codex Cli,Codex App和ChainGBT的基座模型", "tokens": [50365, 14003, 35748, 2257, 8082, 25236, 49061, 39127, 4429, 13089, 31429, 23632, 26075, 95, 34, 1429, 87, 2033, 72, 11, 34, 1429, 87, 3132, 12565, 6546, 491, 8769, 51, 1546, 26008, 6346, 100, 41908, 39823, 50647], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 84, "seek": 23708, "start": 242.72, "end": 245.02, "text": "将其切换为DeepC V4正式版模型", "tokens": [50647, 45456, 9572, 23632, 26075, 95, 13992, 11089, 595, 34, 691, 19, 15789, 27584, 42096, 41908, 39823, 50762], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 85, "seek": 23708, "start": 245.02, "end": 248.92000000000002, "text": "同时完成原始配置的备份并且可以随时复原", "tokens": [50762, 13089, 15729, 41509, 19683, 15476, 38846, 34719, 1546, 1787, 229, 36266, 3509, 114, 20334, 6723, 10673, 237, 15729, 1787, 235, 19683, 50957], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 86, "seek": 23708, "start": 248.92000000000002, "end": 250.36, "text": "以Windows系统为例", "tokens": [50957, 3588, 45813, 1509, 25368, 10115, 253, 13992, 17797, 51029], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 87, "seek": 23708, "start": 250.36, "end": 252.5, "text": "完整切换基座模型的流程如下", "tokens": [51029, 14128, 27662, 23632, 26075, 95, 26008, 6346, 100, 41908, 39823, 1546, 27854, 29649, 8238, 4438, 51136], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 88, "seek": 23708, "start": 252.5, "end": 254.26000000000002, "text": "首先先打开PowerShell", "tokens": [51136, 36490, 10108, 12467, 18937, 46057, 9526, 285, 51224], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 89, "seek": 23708, "start": 254.26000000000002, "end": 256.54, "text": "然后输入IRM命令", "tokens": [51224, 26636, 9830, 241, 14028, 7740, 44, 25236, 49061, 51338], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 90, "seek": 23708, "start": 256.54, "end": 260.88, "text": "从DeepC官方下载Codex配置文件修改脚本并自动运行", "tokens": [51338, 35630, 11089, 595, 34, 31929, 9249, 4438, 17819, 121, 34, 1429, 87, 38846, 34719, 17174, 20485, 7792, 106, 34490, 27067, 248, 8802, 3509, 114, 9722, 34961, 3316, 238, 8082, 51555], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 91, "seek": 23708, "start": 260.88, "end": 265.24, "text": "然后根据提示进行模型选取或者恢复原始配置", "tokens": [51555, 26636, 31337, 26075, 106, 20949, 25696, 36700, 8082, 41908, 39823, 2215, 231, 29436, 31148, 11845, 95, 1787, 235, 19683, 15476, 38846, 34719, 51773], "temperature": 0, "avg_logprob": -0.10242350896199544, "compression_ratio": 1.2238805970149254, "no_speech_prob": 1.5034017433745994e-11}, {"id": 92, "seek": 26524, "start": 265.24, "end": 269.54, "text": "配置模型可以根据实际情况选择V4 Flash或者Pro正式版模型", "tokens": [50365, 38846, 34719, 41908, 39823, 6723, 31337, 26075, 106, 24726, 8842, 227, 46514, 2215, 231, 6852, 102, 53, 19, 20232, 31148, 12681, 15789, 27584, 42096, 41908, 39823, 50580], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 93, "seek": 26524, "start": 269.54, "end": 271.72, "text": "并根据提示设置API Key", "tokens": [50580, 3509, 114, 31337, 26075, 106, 20949, 25696, 7422, 122, 34719, 4715, 40, 12759, 50689], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 94, "seek": 26524, "start": 271.72, "end": 272.64, "text": "设置完成后", "tokens": [50689, 7422, 122, 34719, 41509, 13547, 50735], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 95, "seek": 26524, "start": 272.64, "end": 275.42, "text": "只要看到Installation Complete的提示", "tokens": [50735, 14003, 4275, 18032, 28411, 336, 399, 34687, 1546, 20949, 25696, 50874], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 96, "seek": 26524, "start": 275.42, "end": 276.88, "text": "就说明配置成功", "tokens": [50874, 3111, 8090, 11100, 38846, 34719, 11336, 32311, 50947], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 97, "seek": 26524, "start": 276.88, "end": 280.86, "text": "而如果之后要切换模型或者恢复Codex的原始配置", "tokens": [50947, 11070, 13119, 9574, 13547, 4275, 23632, 26075, 95, 41908, 39823, 31148, 11845, 95, 1787, 235, 34, 1429, 87, 1546, 19683, 15476, 38846, 34719, 51146], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 98, "seek": 26524, "start": 280.86, "end": 284.72, "text": "则再次运行相同脚本并进行相应选择即可", "tokens": [51146, 2437, 247, 8623, 9487, 3316, 238, 8082, 15106, 13089, 27067, 248, 8802, 3509, 114, 36700, 8082, 15106, 44297, 2215, 231, 6852, 102, 39127, 4429, 51339], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 99, "seek": 26524, "start": 284.72, "end": 287.7, "text": "然后打开HitGPT或者Codex应用", "tokens": [51339, 26636, 12467, 18937, 39, 270, 38, 47, 51, 31148, 34, 1429, 87, 44297, 9254, 51488], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 100, "seek": 26524, "start": 287.7, "end": 289.5, "text": "看到左下方是DeepSeq", "tokens": [51488, 18032, 21975, 4438, 9249, 1541, 11089, 595, 10637, 80, 51578], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 101, "seek": 26524, "start": 289.5, "end": 291.26, "text": "并且模型是自定义", "tokens": [51578, 3509, 114, 20334, 41908, 39823, 1541, 9722, 12088, 2930, 231, 51666], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 102, "seek": 26524, "start": 291.26, "end": 292.96000000000004, "text": "就说明已经配置成功了", "tokens": [51666, 3111, 8090, 11100, 49161, 38846, 34719, 11336, 32311, 2289, 51751], "temperature": 0, "avg_logprob": -0.10719123928026221, "compression_ratio": 1.2576687116564418, "no_speech_prob": 1.6632127966542676e-11}, {"id": 103, "seek": 29296, "start": 292.96, "end": 296.4, "text": "接下来即可进行任意对话或者执行各类任务", "tokens": [50365, 14468, 4438, 6912, 39127, 4429, 36700, 8082, 26443, 9042, 8713, 21596, 31148, 3416, 100, 8082, 17516, 22113, 119, 26443, 5087, 94, 50537], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 104, "seek": 29296, "start": 296.4, "end": 297.5, "text": "整个过程非常简单", "tokens": [50537, 27662, 7549, 16866, 29649, 14392, 11249, 222, 47446, 50592], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 105, "seek": 29296, "start": 297.5, "end": 300.09999999999997, "text": "并且Codex Click也会同步发生修改", "tokens": [50592, 3509, 114, 20334, 34, 1429, 87, 8230, 6404, 12949, 13089, 31429, 28926, 8244, 7792, 106, 34490, 50722], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 106, "seek": 29296, "start": 300.09999999999997, "end": 302.7, "text": "而紧接着我们就在Codex命令行中", "tokens": [50722, 11070, 7732, 100, 14468, 20708, 15003, 3111, 3581, 34, 1429, 87, 25236, 49061, 8082, 5975, 50852], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 107, "seek": 29296, "start": 302.7, "end": 305.44, "text": "对V4 Flash正式版模型进行一轮深度评测", "tokens": [50852, 8713, 53, 19, 20232, 15789, 27584, 42096, 41908, 39823, 36700, 8082, 2257, 17819, 106, 24043, 13127, 5233, 226, 11038, 233, 50989], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 108, "seek": 29296, "start": 305.44, "end": 310.08, "text": "期间我们让V4 Flash围绕着一个3万多行多模态PDF检锁系统", "tokens": [50989, 16786, 31685, 15003, 33650, 53, 19, 20232, 3919, 112, 10115, 243, 20708, 20182, 18, 23570, 6392, 8082, 6392, 41908, 3757, 223, 17349, 37, 16407, 222, 23049, 223, 25368, 10115, 253, 51221], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 109, "seek": 29296, "start": 310.08, "end": 312.02, "text": "进行代码审查和结构优化", "tokens": [51221, 36700, 8082, 19105, 23230, 223, 2415, 94, 42623, 12565, 45641, 7360, 226, 7384, 246, 23756, 51318], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 110, "seek": 29296, "start": 312.02, "end": 315.53999999999996, "text": "一条指令即可完成整个Codex的", "tokens": [51318, 2257, 48837, 25922, 49061, 39127, 4429, 41509, 27662, 7549, 34, 1429, 87, 1546, 51494], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 111, "seek": 29296, "start": 315.53999999999996, "end": 318.96, "text": "Plan Task Subagent Web Search等各项功能的驱动", "tokens": [51494, 47, 8658, 30428, 8511, 559, 317, 9573, 17180, 10187, 17516, 10178, 117, 32311, 8225, 1546, 24023, 109, 34961, 51665], "temperature": 0, "avg_logprob": -0.1274691169912165, "compression_ratio": 1.1820809248554913, "no_speech_prob": 1.7585325556845888e-11}, {"id": 112, "seek": 31896, "start": 318.96, "end": 322.96, "text": "并最终完成代码库的审核优化测试一整观者流程", "tokens": [50365, 3509, 114, 8661, 10115, 230, 41509, 19105, 23230, 223, 6346, 241, 1546, 2415, 94, 8987, 116, 7384, 246, 23756, 11038, 233, 5233, 243, 2257, 27662, 42350, 12444, 27854, 29649, 50565], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 113, "seek": 31896, "start": 322.96, "end": 324.4, "text": "非常顺畅高效", "tokens": [50565, 14392, 10178, 118, 6904, 227, 12979, 43076, 50637], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 114, "seek": 31896, "start": 324.4, "end": 326.79999999999995, "text": "这次DeepSeq V4 Flash模型发布非常迅速", "tokens": [50637, 5562, 9487, 11089, 595, 10637, 80, 691, 19, 20232, 41908, 39823, 28926, 34688, 14392, 3316, 227, 31217, 50757], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 115, "seek": 31896, "start": 326.79999999999995, "end": 328.79999999999995, "text": "在API全面上线同时", "tokens": [50757, 3581, 4715, 40, 11319, 8833, 5708, 16853, 123, 13089, 15729, 50857], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 116, "seek": 31896, "start": 328.79999999999995, "end": 331.34, "text": "模型权重也正式在Hugging Face上开源", "tokens": [50857, 41908, 39823, 4422, 225, 12624, 6404, 15789, 27584, 3581, 39, 697, 3249, 4047, 5708, 18937, 47402, 50984], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 117, "seek": 31896, "start": 331.34, "end": 334.08, "text": "当然V4 Flash其实还只是开位赛", "tokens": [50984, 40486, 53, 19, 20232, 41646, 14852, 36859, 18937, 11160, 5266, 249, 51121], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 118, "seek": 31896, "start": 334.08, "end": 337.84, "text": "还只是接下来V4 Pro正式版和DeepSeq版Cloud Code", "tokens": [51121, 14852, 36859, 14468, 4438, 6912, 53, 19, 1705, 15789, 27584, 42096, 12565, 11089, 595, 10637, 80, 42096, 32787, 15549, 51309], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 119, "seek": 31896, "start": 337.84, "end": 340.82, "text": "DeepSeq Harness Agent发布的前奏", "tokens": [51309, 11089, 595, 10637, 80, 389, 16937, 27174, 28926, 34688, 1546, 8945, 1881, 237, 51458], "temperature": 0, "avg_logprob": -0.15528564453125, "compression_ratio": 1.147887323943662, "no_speech_prob": 1.8517224212311056e-11}, {"id": 120, "seek": 34082, "start": 340.82, "end": 343.82, "text": "按照30%的性能涨幅预期", "tokens": [50365, 26613, 32150, 3446, 4, 1546, 21686, 8225, 35681, 101, 3509, 227, 12501, 226, 16786, 50515], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 121, "seek": 34082, "start": 343.82, "end": 344.7, "text": "我们有留相信", "tokens": [50515, 15003, 2412, 24456, 35428, 50559], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 122, "seek": 34082, "start": 344.7, "end": 347.26, "text": "V4 Pro正式版将会是全球第一款", "tokens": [50559, 53, 19, 1705, 15789, 27584, 42096, 45456, 12949, 1541, 11319, 28533, 18049, 48798, 50687], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 123, "seek": 34082, "start": 347.26, "end": 351.2, "text": "性能全面超越OPPO4.8的全新一代开源旗舰模型", "tokens": [50687, 21686, 8225, 11319, 8833, 19869, 25761, 12059, 34885, 19, 13, 23, 1546, 11319, 12560, 2257, 19105, 18937, 47402, 4479, 245, 10256, 108, 41908, 39823, 50884], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 124, "seek": 34082, "start": 351.2, "end": 353.15999999999997, "text": "好了 以上就是本期视频的全部内容", "tokens": [50884, 12621, 220, 29497, 5620, 8802, 16786, 40656, 39752, 1546, 38714, 34742, 25750, 50982], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 125, "seek": 34082, "start": 353.15999999999997, "end": 354.74, "text": "感谢大家的关注和三连支持", "tokens": [50982, 9709, 11340, 6868, 1546, 28053, 26432, 12565, 10960, 3316, 252, 35488, 51061], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 126, "seek": 34082, "start": 354.74, "end": 356.84, "text": "更多DeepSeq V4正式版的学习资料", "tokens": [51061, 19002, 6392, 11089, 595, 10637, 80, 691, 19, 15789, 27584, 42096, 1546, 29618, 2930, 254, 5266, 226, 33404, 51166], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 127, "seek": 34082, "start": 356.84, "end": 359.7, "text": "技术文档 模型部署跟Agent开发教程等", "tokens": [51166, 32502, 1474, 107, 17174, 21416, 96, 220, 41908, 39823, 13470, 16469, 110, 9678, 32, 6930, 18937, 28926, 21936, 29649, 10187, 51309], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 128, "seek": 34082, "start": 359.7, "end": 361.74, "text": "都已经上限至复办AI技术社区", "tokens": [51309, 7182, 49161, 5708, 43446, 20844, 1787, 235, 39453, 48698, 32502, 1474, 107, 27658, 9937, 118, 51411], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 129, "seek": 34082, "start": 361.74, "end": 363.1, "text": "大家扫码即可领取", "tokens": [51411, 6868, 3416, 104, 23230, 223, 39127, 4429, 12501, 228, 29436, 51479], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 130, "seek": 34082, "start": 363.1, "end": 366.68, "text": "五十九天 专注大家提供最扎实优质的技术内容", "tokens": [51479, 21001, 20145, 43145, 6135, 220, 940, 241, 26432, 6868, 20949, 3254, 249, 8661, 3416, 236, 24726, 7384, 246, 18464, 101, 1546, 32502, 1474, 107, 34742, 25750, 51658], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}, {"id": 131, "seek": 34082, "start": 366.68, "end": 368.28, "text": "我们下个视频 再见", "tokens": [51658, 15003, 4438, 7549, 40656, 39752, 220, 44176, 51738], "temperature": 0, "avg_logprob": -0.13400947149075457, "compression_ratio": 1.2281167108753315, "no_speech_prob": 1.557325449152991e-11}], "language": "zh"}