{"text": "大家好,Deepseek V4 Flash 正式版发布之后,得到了非常大的关注。很多人用不同的AI工具去对接Deepseek V4 Flash。那么也有很多讨论,这个工具可能调用Deepseek更省钱,或者效率更高。本期视频就来测试一下,在不同的AI变成工具里面同样的任务,使用Deepseek V4 Flash 正式版所消耗的时间和成本分别是多少。最后我们再总结一下,哪一个AI变成工具比较适合来使用Deepseek V4 Flash。那么首先在Deepseek官网推荐的AI变成工具,或者是A型的工具,有以下几个,比如Cloud Code, Codex, OpenCode,还有几个个人助手类的。然后我这边测试的话,使用的是4个AI变成工具,第一个是Cloud Code,第二个是Codex App,还有OpenCode以及Pi。那么这4个基本上涵盖了目前大家使用最多的这几款工具。还有一个工具叫OMP的,那么是基于Pi这个框架来进行迭代开发了。所以我就不再测试了。那么测试提示词,是用工具来制作一款这样的CS1.6的这种游戏。这个游戏是一个3D的游戏,提示词也是都一样的。每一个AI变成工具,接受到提示词都是一样的。测试流程就是,我希望使用同样提示词,达到一个差不多的效果。然后来算一下它花费的时间和成本。那这个过程是包含了从0到1去生成整个项目。然后来对这个项目进行一些微调,因为可能会有一些问题。然后最后达到一个可玩的一个这样的效果。最终来计算一下花费的时间,花费的成本,以及最终的结果的一个评分。看一下谁是最好的。我们来看一下最终的效果是什么样子。我们先看一下Cloud Code。那这边的话我们打开一下我们的测试的命令。我们可以看一下整个的一个效果。那么它是一个这样的,我们就随便点一下。主要是看一下这个效果。那其实这几个AI变成工具生成效果都非常一般。都没有之前的其他模型生成效果更好。所以整个来说,射击什么都是正常。OK,我们看第二个。我们来看第二个。第二个是Open Code来实现的一个效果。我们来启动一下。然后这边的话是页面效果也还行。但是这个枪支的效果好像很一般。然后的话我们买一个武器。这个射击的效果就非常一般了。OK,我们也是到这里就结束。我们再看一下使用Pi生成的效果进入。然后这边的话我们随便买一个。OK,它这个顺序还反了。它这个没法射击还是有些问题的。我们再看一下Cutis App做出来的效果。这个地图很小。然后的话我们可以看一下。OK,我们看一下是不是这个效果。这个效果也真很一般。那么从上面的测试结果来看。虽然我们没有测试完整个流程。那么从页面效果交互。这一类的这个对比来看。Cloud Code的效果是最好的。那其次是Open Code。然后再就是Cutis App和Pi。那么在使用成本上。我给每一个AI变成工具都创建了一个独有的API Key。从这个DeepSick后台的这个成本分析里面。我们可以看到啊。Pi是使用的成本是最高的。1.7亿元。其次是这个CodeS App。接下来就是Cloud Code和Open Code。那么这个结果非常出乎我的意料。那么我认为Pi这个框架。加上DeepSick Flash应该属于又快又省钱。但是呢从测试结果来看。Pi使用了60分钟。然后成本是最高的。时间是最长的。而且效果是最差的。目前还不知道具体的原因是什么。然后CodeS App也是使用了比较长的时间。而且效果也非常差。可能跟它的内置的验证流程是否有关系。因为我们其实使用的是第三方的模型来对接Class App。相当于不属于官方的一个范围。然后表现最好的是Cloud Code。这个应该是在我的意料中的。毕竟它有那么一套成熟的一个流程。那么我在测试过程中也是把所有的技能都全部禁用掉了。然后基本上用纯内置提示词加上这个模型的能力来跑这样一个结果。所以从我这个测试结果啊。虽然说不代表一个权威啊。来看还是推荐大家使用Cloud Code去对接DeepSick Flash。会比较好一点。毕竟生态比较丰富嘛。然后或者说你使用Cloud X也行。那么你可以推荐你使用这个Open Code。那么其实不管是Cloud Code还是Cloud App。他们的内置的提示词或者流程,肯定是优先适配于自己的模型。那比如说在之前的视频里面我分享过了。Cloud Code在OPUS5.0之后会减省80%的内置提示词。那么针对非OPUS5.0的模型。他们会用其他的这种提示词。那么可能当DeepSick的能力超过OPUS5.0。那么再使用Cloud Code的时候。那么就会用老的提示词用到乔模型上。那效果可能会打折。所以最好的还是模型公司自己出了这个AI变成工具。或者我们叫Hannis工具。DepSick官方最近也在内测自己的这个Hannis工具。也非常期待它的正式上线。到时候我们再来测试一下。然后这几个工具的话。如果你喜欢自己折腾。那希望自己去配置单独的包。或者说第三方的扩展。那么我非常推荐使用Pi。因为Pi其实是一个非常简单的一个Agent工具。它不仅可以开发自己的Agent工具。使用它来进行编程。当然它的官网也有非常的第三方包。比如说像子代理,像动态工作流,像目标。以及其他的非常好用的一些包。那你把它按需要去加载进来。那也是一个非常好用的工具。那么视频就到这儿。希望这个视频对你有所帮助。", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 8.700000000000001, "text": "大家好,Deepseek V4 Flash 正式版发布之后,得到了非常大的关注。很多人用不同的AI工具去对接Deepseek V4 Flash。", "tokens": [50365, 15248, 11, 11089, 595, 405, 916, 691, 19, 20232, 220, 15789, 27584, 42096, 28926, 34688, 9574, 13547, 11, 5916, 21381, 14392, 39156, 28053, 26432, 1543, 20778, 4035, 9254, 47123, 1546, 48698, 23323, 39806, 6734, 8713, 14468, 11089, 595, 405, 916, 691, 19, 20232, 1543, 50800], "temperature": 0, "avg_logprob": -0.18727501460484097, "compression_ratio": 1.2895622895622896, "no_speech_prob": 9.500745676294109e-12}, {"id": 1, "seek": 0, "start": 8.700000000000001, "end": 14.08, "text": "那么也有很多讨论,这个工具可能调用Deepseek更省钱,或者效率更高。", "tokens": [50800, 35693, 6404, 2412, 20778, 7422, 101, 7422, 118, 11, 15368, 23323, 39806, 16657, 8897, 225, 9254, 11089, 595, 405, 916, 19002, 2862, 223, 39623, 11, 31148, 43076, 44866, 19002, 12979, 1543, 51069], "temperature": 0, "avg_logprob": -0.18727501460484097, "compression_ratio": 1.2895622895622896, "no_speech_prob": 9.500745676294109e-12}, {"id": 2, "seek": 0, "start": 14.08, "end": 24.400000000000002, "text": "本期视频就来测试一下,在不同的AI变成工具里面同样的任务,使用Deepseek V4 Flash 正式版所消耗的时间和成本分别是多少。", "tokens": [51069, 8802, 16786, 40656, 39752, 3111, 6912, 11038, 233, 5233, 243, 8861, 11, 3581, 47123, 1546, 48698, 2129, 246, 11336, 23323, 39806, 15759, 8833, 13089, 14496, 1546, 26443, 5087, 94, 11, 22982, 9254, 11089, 595, 405, 916, 691, 19, 20232, 220, 15789, 27584, 42096, 5966, 28837, 4450, 245, 1546, 44848, 12565, 11336, 8802, 6627, 18453, 1541, 41492, 1543, 51585], "temperature": 0, "avg_logprob": -0.18727501460484097, "compression_ratio": 1.2895622895622896, "no_speech_prob": 9.500745676294109e-12}, {"id": 3, "seek": 2440, "start": 24.4, "end": 29.4, "text": "最后我们再总结一下,哪一个AI变成工具比较适合来使用Deepseek V4 Flash。", "tokens": [50365, 8661, 13547, 15003, 8623, 33440, 45641, 8861, 11, 17028, 20182, 48698, 2129, 246, 11336, 23323, 39806, 11706, 9830, 225, 2215, 224, 14245, 6912, 22982, 9254, 11089, 595, 405, 916, 691, 19, 20232, 1543, 50615], "temperature": 0, "avg_logprob": -0.15956734774405495, "compression_ratio": 1.3734939759036144, "no_speech_prob": 1.1220783850685034e-11}, {"id": 4, "seek": 2440, "start": 29.4, "end": 40.4, "text": "那么首先在Deepseek官网推荐的AI变成工具,或者是A型的工具,有以下几个,比如Cloud Code, Codex, OpenCode,还有几个个人助手类的。", "tokens": [50615, 35693, 36490, 3581, 11089, 595, 405, 916, 31929, 16469, 239, 33597, 31409, 238, 1546, 48698, 2129, 246, 11336, 23323, 39806, 11, 31148, 1541, 32, 39823, 1546, 23323, 39806, 11, 2412, 3588, 4438, 6336, 254, 7549, 11, 36757, 32787, 15549, 11, 15549, 87, 11, 7238, 34, 1429, 11, 35091, 6336, 254, 7549, 7549, 4035, 37618, 11389, 22113, 119, 1546, 1543, 51165], "temperature": 0, "avg_logprob": -0.15956734774405495, "compression_ratio": 1.3734939759036144, "no_speech_prob": 1.1220783850685034e-11}, {"id": 5, "seek": 2440, "start": 40.4, "end": 48.4, "text": "然后我这边测试的话,使用的是4个AI变成工具,第一个是Cloud Code,第二个是Codex App,还有OpenCode以及Pi。", "tokens": [51165, 26636, 1654, 5562, 40503, 11038, 233, 5233, 243, 44575, 11, 22982, 9254, 24620, 19, 7549, 48698, 2129, 246, 11336, 23323, 39806, 11, 18049, 7549, 1541, 32787, 15549, 11, 19693, 7549, 1541, 34, 1429, 87, 3132, 11, 35091, 45569, 34, 1429, 40282, 47, 72, 1543, 51565], "temperature": 0, "avg_logprob": -0.15956734774405495, "compression_ratio": 1.3734939759036144, "no_speech_prob": 1.1220783850685034e-11}, {"id": 6, "seek": 2440, "start": 48.4, "end": 53.4, "text": "那么这4个基本上涵盖了目前大家使用最多的这几款工具。", "tokens": [51565, 35693, 5562, 19, 7549, 37946, 5708, 35681, 113, 5419, 244, 2289, 39004, 6868, 22982, 9254, 8661, 6392, 1546, 5562, 6336, 254, 48798, 23323, 39806, 1543, 51815], "temperature": 0, "avg_logprob": -0.15956734774405495, "compression_ratio": 1.3734939759036144, "no_speech_prob": 1.1220783850685034e-11}, {"id": 7, "seek": 5340, "start": 53.4, "end": 58.4, "text": "还有一个工具叫OMP的,那么是基于Pi这个框架来进行迭代开发了。", "tokens": [50365, 35091, 20182, 23323, 39806, 19855, 5251, 47, 1546, 11, 35693, 1541, 26008, 37732, 47, 72, 15368, 21416, 228, 7360, 114, 6912, 36700, 8082, 3316, 255, 19105, 18937, 28926, 2289, 1543, 50615], "temperature": 0, "avg_logprob": -0.13066338011937112, "compression_ratio": 1.407017543859649, "no_speech_prob": 1.65525215062301e-11}, {"id": 8, "seek": 5340, "start": 58.4, "end": 60.4, "text": "所以我就不再测试了。", "tokens": [50615, 7239, 22020, 1960, 8623, 11038, 233, 5233, 243, 2289, 1543, 50715], "temperature": 0, "avg_logprob": -0.13066338011937112, "compression_ratio": 1.407017543859649, "no_speech_prob": 1.65525215062301e-11}, {"id": 9, "seek": 5340, "start": 60.4, "end": 66.4, "text": "那么测试提示词,是用工具来制作一款这样的CS1.6的这种游戏。", "tokens": [50715, 35693, 11038, 233, 5233, 243, 20949, 25696, 5233, 235, 11, 1541, 9254, 23323, 39806, 6912, 25491, 11914, 2257, 48798, 21209, 1546, 26283, 16, 13, 21, 1546, 5562, 39810, 9592, 116, 1486, 237, 1543, 51015], "temperature": 0, "avg_logprob": -0.13066338011937112, "compression_ratio": 1.407017543859649, "no_speech_prob": 1.65525215062301e-11}, {"id": 10, "seek": 5340, "start": 66.4, "end": 70.4, "text": "这个游戏是一个3D的游戏,提示词也是都一样的。", "tokens": [51015, 15368, 9592, 116, 1486, 237, 1541, 20182, 18, 35, 1546, 9592, 116, 1486, 237, 11, 20949, 25696, 5233, 235, 22021, 7182, 2257, 14496, 1546, 1543, 51215], "temperature": 0, "avg_logprob": -0.13066338011937112, "compression_ratio": 1.407017543859649, "no_speech_prob": 1.65525215062301e-11}, {"id": 11, "seek": 5340, "start": 70.4, "end": 73.4, "text": "每一个AI变成工具,接受到提示词都是一样的。", "tokens": [51215, 23664, 20182, 48698, 2129, 246, 11336, 23323, 39806, 11, 14468, 23151, 4511, 20949, 25696, 5233, 235, 22796, 2257, 14496, 1546, 1543, 51365], "temperature": 0, "avg_logprob": -0.13066338011937112, "compression_ratio": 1.407017543859649, "no_speech_prob": 1.65525215062301e-11}, {"id": 12, "seek": 5340, "start": 73.4, "end": 78.4, "text": "测试流程就是,我希望使用同样提示词,达到一个差不多的效果。", "tokens": [51365, 11038, 233, 5233, 243, 27854, 29649, 5620, 11, 1654, 29955, 22982, 9254, 13089, 14496, 20949, 25696, 5233, 235, 11, 9830, 122, 4511, 20182, 37876, 1546, 43076, 9319, 1543, 51615], "temperature": 0, "avg_logprob": -0.13066338011937112, "compression_ratio": 1.407017543859649, "no_speech_prob": 1.65525215062301e-11}, {"id": 13, "seek": 7840, "start": 78.4, "end": 81.4, "text": "然后来算一下它花费的时间和成本。", "tokens": [50365, 26636, 6912, 19497, 8861, 11284, 20127, 18464, 117, 1546, 44848, 12565, 11336, 8802, 1543, 50515], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 14, "seek": 7840, "start": 81.4, "end": 84.4, "text": "那这个过程是包含了从0到1去生成整个项目。", "tokens": [50515, 4184, 15368, 16866, 29649, 1541, 23305, 2392, 104, 2289, 35630, 15, 4511, 16, 6734, 8244, 11336, 27662, 7549, 10178, 117, 11386, 1543, 50665], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 15, "seek": 7840, "start": 84.4, "end": 88.4, "text": "然后来对这个项目进行一些微调,因为可能会有一些问题。", "tokens": [50665, 26636, 6912, 8713, 15368, 10178, 117, 11386, 36700, 8082, 38515, 39152, 8897, 225, 11, 34627, 16657, 12949, 32241, 13824, 34069, 1543, 50865], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 16, "seek": 7840, "start": 88.4, "end": 91.4, "text": "然后最后达到一个可玩的一个这样的效果。", "tokens": [50865, 26636, 8661, 13547, 9830, 122, 4511, 20182, 4429, 19912, 1546, 20182, 21209, 1546, 43076, 9319, 1543, 51015], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 17, "seek": 7840, "start": 91.4, "end": 95.4, "text": "最终来计算一下花费的时间,花费的成本,", "tokens": [51015, 8661, 10115, 230, 6912, 7422, 94, 19497, 8861, 20127, 18464, 117, 1546, 44848, 11, 20127, 18464, 117, 1546, 11336, 8802, 11, 51215], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 18, "seek": 7840, "start": 95.4, "end": 97.4, "text": "以及最终的结果的一个评分。", "tokens": [51215, 40282, 8661, 10115, 230, 1546, 45641, 9319, 1546, 20182, 5233, 226, 6627, 1543, 51315], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 19, "seek": 7840, "start": 97.4, "end": 99.4, "text": "看一下谁是最好的。", "tokens": [51315, 28324, 33556, 1541, 8661, 20715, 1543, 51415], "temperature": 0, "avg_logprob": -0.09103097102438756, "compression_ratio": 1.4534412955465588, "no_speech_prob": 1.7616536701625662e-11}, {"id": 20, "seek": 9940, "start": 99.4, "end": 102.4, "text": "我们来看一下最终的效果是什么样子。", "tokens": [50365, 15003, 6912, 28324, 8661, 10115, 230, 1546, 43076, 9319, 1541, 10440, 14496, 7626, 1543, 50515], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 21, "seek": 9940, "start": 102.4, "end": 103.4, "text": "我们先看一下Cloud Code。", "tokens": [50515, 15003, 10108, 28324, 32787, 15549, 1543, 50565], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 22, "seek": 9940, "start": 103.4, "end": 106.4, "text": "那这边的话我们打开一下我们的测试的命令。", "tokens": [50565, 4184, 5562, 40503, 44575, 15003, 12467, 18937, 8861, 15003, 1546, 11038, 233, 5233, 243, 1546, 25236, 49061, 1543, 50715], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 23, "seek": 9940, "start": 106.4, "end": 108.4, "text": "我们可以看一下整个的一个效果。", "tokens": [50715, 15003, 6723, 28324, 27662, 7549, 1546, 20182, 43076, 9319, 1543, 50815], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 24, "seek": 9940, "start": 108.4, "end": 111.4, "text": "那么它是一个这样的,我们就随便点一下。", "tokens": [50815, 35693, 11284, 1541, 20182, 21209, 1546, 11, 15003, 3111, 10673, 237, 27364, 12579, 8861, 1543, 50965], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 25, "seek": 9940, "start": 111.4, "end": 113.4, "text": "主要是看一下这个效果。", "tokens": [50965, 13557, 4275, 1541, 28324, 15368, 43076, 9319, 1543, 51065], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 26, "seek": 9940, "start": 113.4, "end": 116.4, "text": "那其实这几个AI变成工具生成效果都非常一般。", "tokens": [51065, 4184, 41646, 5562, 6336, 254, 7549, 48698, 2129, 246, 11336, 23323, 39806, 8244, 11336, 43076, 9319, 7182, 14392, 2257, 49640, 1543, 51215], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 27, "seek": 9940, "start": 116.4, "end": 120.4, "text": "都没有之前的其他模型生成效果更好。", "tokens": [51215, 7182, 17944, 32442, 1546, 9572, 5000, 41908, 39823, 8244, 11336, 43076, 9319, 19002, 2131, 1543, 51415], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 28, "seek": 9940, "start": 120.4, "end": 122.4, "text": "所以整个来说,射击什么都是正常。", "tokens": [51415, 7239, 27662, 7549, 6912, 8090, 11, 1530, 226, 6336, 119, 10440, 22796, 15789, 11279, 1543, 51515], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 29, "seek": 9940, "start": 122.4, "end": 123.4, "text": "OK,我们看第二个。", "tokens": [51515, 9443, 11, 15003, 4200, 19693, 7549, 1543, 51565], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 30, "seek": 9940, "start": 123.4, "end": 124.4, "text": "我们来看第二个。", "tokens": [51565, 15003, 6912, 4200, 19693, 7549, 1543, 51615], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 31, "seek": 9940, "start": 124.4, "end": 126.4, "text": "第二个是Open Code来实现的一个效果。", "tokens": [51615, 19693, 7549, 1541, 45569, 15549, 6912, 24726, 20204, 1546, 20182, 43076, 9319, 1543, 51715], "temperature": 0, "avg_logprob": -0.10717724109518117, "compression_ratio": 1.6012084592145015, "no_speech_prob": 1.7191860782195256e-11}, {"id": 32, "seek": 12640, "start": 126.4, "end": 128.4, "text": "我们来启动一下。", "tokens": [50365, 15003, 6912, 2392, 107, 34961, 8861, 1543, 50465], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 33, "seek": 12640, "start": 128.4, "end": 131.4, "text": "然后这边的话是页面效果也还行。", "tokens": [50465, 26636, 5562, 40503, 44575, 1541, 10178, 113, 8833, 43076, 9319, 6404, 14852, 8082, 1543, 50615], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 34, "seek": 12640, "start": 131.4, "end": 133.4, "text": "但是这个枪支的效果好像很一般。", "tokens": [50615, 11189, 15368, 7360, 103, 24400, 1546, 43076, 9319, 33242, 4563, 2257, 49640, 1543, 50715], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 35, "seek": 12640, "start": 133.4, "end": 136.4, "text": "然后的话我们买一个武器。", "tokens": [50715, 26636, 44575, 15003, 2930, 108, 20182, 38194, 34386, 1543, 50865], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 36, "seek": 12640, "start": 136.4, "end": 139.4, "text": "这个射击的效果就非常一般了。", "tokens": [50865, 15368, 1530, 226, 6336, 119, 1546, 43076, 9319, 3111, 14392, 2257, 49640, 2289, 1543, 51015], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 37, "seek": 12640, "start": 139.4, "end": 141.4, "text": "OK,我们也是到这里就结束。", "tokens": [51015, 9443, 11, 15003, 22021, 4511, 35102, 3111, 45641, 44320, 1543, 51115], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 38, "seek": 12640, "start": 141.4, "end": 144.4, "text": "我们再看一下使用Pi生成的效果进入。", "tokens": [51115, 15003, 8623, 28324, 22982, 9254, 47, 72, 8244, 11336, 1546, 43076, 9319, 36700, 14028, 1543, 51265], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 39, "seek": 12640, "start": 144.4, "end": 147.4, "text": "然后这边的话我们随便买一个。", "tokens": [51265, 26636, 5562, 40503, 44575, 15003, 10673, 237, 27364, 2930, 108, 20182, 1543, 51415], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 40, "seek": 12640, "start": 147.4, "end": 150.4, "text": "OK,它这个顺序还反了。", "tokens": [51415, 9443, 11, 11284, 15368, 10178, 118, 6346, 237, 14852, 22138, 2289, 1543, 51565], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 41, "seek": 12640, "start": 150.4, "end": 155.4, "text": "它这个没法射击还是有些问题的。", "tokens": [51565, 11284, 15368, 10062, 11148, 1530, 226, 6336, 119, 45726, 2412, 13824, 34069, 1546, 1543, 51815], "temperature": 0, "avg_logprob": -0.10957661480970786, "compression_ratio": 1.5310077519379846, "no_speech_prob": 1.9892700334200875e-11}, {"id": 42, "seek": 15540, "start": 155.4, "end": 158.4, "text": "我们再看一下Cutis App做出来的效果。", "tokens": [50365, 15003, 8623, 28324, 34, 325, 271, 3132, 10907, 44561, 1546, 43076, 9319, 1543, 50515], "temperature": 0, "avg_logprob": -0.3352887596882565, "compression_ratio": 1.2342857142857142, "no_speech_prob": 1.8228108258910858e-11}, {"id": 43, "seek": 15540, "start": 158.4, "end": 160.4, "text": "这个地图很小。", "tokens": [50515, 15368, 10928, 3919, 122, 4563, 7322, 1543, 50615], "temperature": 0, "avg_logprob": -0.3352887596882565, "compression_ratio": 1.2342857142857142, "no_speech_prob": 1.8228108258910858e-11}, {"id": 44, "seek": 15540, "start": 160.4, "end": 163.4, "text": "然后的话我们可以看一下。", "tokens": [50615, 26636, 44575, 15003, 6723, 28324, 1543, 50765], "temperature": 0, "avg_logprob": -0.3352887596882565, "compression_ratio": 1.2342857142857142, "no_speech_prob": 1.8228108258910858e-11}, {"id": 45, "seek": 15540, "start": 163.4, "end": 169.4, "text": "OK,我们看一下是不是这个效果。", "tokens": [50765, 9443, 11, 15003, 28324, 23034, 15368, 43076, 9319, 1543, 51065], "temperature": 0, "avg_logprob": -0.3352887596882565, "compression_ratio": 1.2342857142857142, "no_speech_prob": 1.8228108258910858e-11}, {"id": 46, "seek": 15540, "start": 169.4, "end": 172.4, "text": "这个效果也真很一般。", "tokens": [51065, 15368, 43076, 9319, 6404, 6303, 4563, 2257, 49640, 1543, 51215], "temperature": 0, "avg_logprob": -0.3352887596882565, "compression_ratio": 1.2342857142857142, "no_speech_prob": 1.8228108258910858e-11}, {"id": 47, "seek": 15540, "start": 172.4, "end": 177.4, "text": "那么从上面的测试结果来看。", "tokens": [51215, 35693, 35630, 49750, 1546, 11038, 233, 5233, 243, 45641, 9319, 6912, 4200, 1543, 51465], "temperature": 0, "avg_logprob": -0.3352887596882565, "compression_ratio": 1.2342857142857142, "no_speech_prob": 1.8228108258910858e-11}, {"id": 48, "seek": 17740, "start": 177.4, "end": 179.4, "text": "虽然我们没有测试完整个流程。", "tokens": [50365, 12026, 121, 5823, 15003, 17944, 11038, 233, 5233, 243, 14128, 27662, 7549, 27854, 29649, 1543, 50465], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 49, "seek": 17740, "start": 179.4, "end": 181.4, "text": "那么从页面效果交互。", "tokens": [50465, 35693, 35630, 10178, 113, 8833, 43076, 9319, 28455, 1369, 240, 1543, 50565], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 50, "seek": 17740, "start": 181.4, "end": 183.4, "text": "这一类的这个对比来看。", "tokens": [50565, 5562, 2257, 22113, 119, 1546, 15368, 8713, 11706, 6912, 4200, 1543, 50665], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 51, "seek": 17740, "start": 183.4, "end": 185.4, "text": "Cloud Code的效果是最好的。", "tokens": [50665, 32787, 15549, 1546, 43076, 9319, 1541, 8661, 20715, 1543, 50765], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 52, "seek": 17740, "start": 185.4, "end": 186.4, "text": "那其次是Open Code。", "tokens": [50765, 4184, 9572, 9487, 1541, 45569, 15549, 1543, 50815], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 53, "seek": 17740, "start": 186.4, "end": 188.4, "text": "然后再就是Cutis App和Pi。", "tokens": [50815, 26636, 8623, 5620, 34, 325, 271, 3132, 12565, 47, 72, 1543, 50915], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 54, "seek": 17740, "start": 188.4, "end": 190.4, "text": "那么在使用成本上。", "tokens": [50915, 35693, 3581, 22982, 9254, 11336, 8802, 5708, 1543, 51015], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 55, "seek": 17740, "start": 190.4, "end": 194.4, "text": "我给每一个AI变成工具都创建了一个独有的API Key。", "tokens": [51015, 1654, 23197, 23664, 20182, 48698, 2129, 246, 11336, 23323, 39806, 7182, 2437, 249, 34157, 2289, 20182, 18637, 105, 2412, 1546, 4715, 40, 12759, 1543, 51215], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 56, "seek": 17740, "start": 194.4, "end": 196.4, "text": "从这个DeepSick后台的这个成本分析里面。", "tokens": [51215, 35630, 15368, 11089, 595, 50, 618, 13547, 15433, 1546, 15368, 11336, 8802, 6627, 7360, 238, 15759, 8833, 1543, 51315], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 57, "seek": 17740, "start": 196.4, "end": 197.4, "text": "我们可以看到啊。", "tokens": [51315, 15003, 6723, 18032, 4905, 1543, 51365], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 58, "seek": 17740, "start": 197.4, "end": 199.4, "text": "Pi是使用的成本是最高的。", "tokens": [51365, 47, 72, 1541, 22982, 9254, 1546, 11336, 8802, 1541, 8661, 12979, 1546, 1543, 51465], "temperature": 0, "avg_logprob": -0.1523422094491812, "compression_ratio": 1.2861736334405145, "no_speech_prob": 1.4411220480847753e-11}, {"id": 59, "seek": 19940, "start": 199.4, "end": 201.4, "text": "1.7亿元。", "tokens": [50365, 16, 13, 22, 1369, 123, 14812, 1543, 50465], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 60, "seek": 19940, "start": 201.4, "end": 202.4, "text": "其次是这个CodeS App。", "tokens": [50465, 9572, 9487, 1541, 15368, 34, 1429, 50, 3132, 1543, 50515], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 61, "seek": 19940, "start": 202.4, "end": 204.4, "text": "接下来就是Cloud Code和Open Code。", "tokens": [50515, 14468, 4438, 6912, 5620, 32787, 15549, 12565, 45569, 15549, 1543, 50615], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 62, "seek": 19940, "start": 204.4, "end": 206.4, "text": "那么这个结果非常出乎我的意料。", "tokens": [50615, 35693, 15368, 45641, 9319, 14392, 7781, 2930, 236, 14200, 9042, 33404, 1543, 50715], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 63, "seek": 19940, "start": 206.4, "end": 208.4, "text": "那么我认为Pi这个框架。", "tokens": [50715, 35693, 1654, 7422, 97, 13992, 47, 72, 15368, 21416, 228, 7360, 114, 1543, 50815], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 64, "seek": 19940, "start": 208.4, "end": 211.4, "text": "加上DeepSick Flash应该属于又快又省钱。", "tokens": [50815, 9990, 5708, 11089, 595, 50, 618, 20232, 44297, 44646, 9636, 252, 37732, 17047, 10251, 17047, 2862, 223, 39623, 1543, 50965], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 65, "seek": 19940, "start": 211.4, "end": 213.4, "text": "但是呢从测试结果来看。", "tokens": [50965, 11189, 6240, 35630, 11038, 233, 5233, 243, 45641, 9319, 6912, 4200, 1543, 51065], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 66, "seek": 19940, "start": 213.4, "end": 215.4, "text": "Pi使用了60分钟。", "tokens": [51065, 47, 72, 22982, 9254, 2289, 4550, 6627, 50064, 1543, 51165], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 67, "seek": 19940, "start": 215.4, "end": 217.4, "text": "然后成本是最高的。", "tokens": [51165, 26636, 11336, 8802, 1541, 8661, 12979, 1546, 1543, 51265], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 68, "seek": 19940, "start": 217.4, "end": 218.4, "text": "时间是最长的。", "tokens": [51265, 44848, 1541, 8661, 32271, 1546, 1543, 51315], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 69, "seek": 19940, "start": 218.4, "end": 219.4, "text": "而且效果是最差的。", "tokens": [51315, 22942, 43076, 9319, 1541, 8661, 21679, 1546, 1543, 51365], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 70, "seek": 19940, "start": 219.4, "end": 221.4, "text": "目前还不知道具体的原因是什么。", "tokens": [51365, 39004, 14852, 17572, 39806, 29485, 1546, 42577, 1541, 10440, 1543, 51465], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 71, "seek": 19940, "start": 221.4, "end": 223.4, "text": "然后CodeS App也是使用了比较长的时间。", "tokens": [51465, 26636, 34, 1429, 50, 3132, 22021, 22982, 9254, 2289, 11706, 9830, 225, 32271, 1546, 44848, 1543, 51565], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 72, "seek": 19940, "start": 223.4, "end": 225.4, "text": "而且效果也非常差。", "tokens": [51565, 22942, 43076, 9319, 6404, 14392, 21679, 1543, 51665], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 73, "seek": 19940, "start": 225.4, "end": 228.4, "text": "可能跟它的内置的验证流程是否有关系。", "tokens": [51665, 16657, 9678, 45224, 34742, 34719, 1546, 49657, 234, 5233, 223, 27854, 29649, 1541, 45334, 2412, 28053, 25368, 1543, 51815], "temperature": 0, "avg_logprob": -0.07532074986671915, "compression_ratio": 1.3394255874673628, "no_speech_prob": 1.2456362330492965e-11}, {"id": 74, "seek": 22840, "start": 228.4, "end": 232.4, "text": "因为我们其实使用的是第三方的模型来对接Class App。", "tokens": [50365, 34627, 15003, 41646, 22982, 9254, 24620, 35878, 9249, 1546, 41908, 39823, 6912, 8713, 14468, 44621, 3132, 1543, 50565], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 75, "seek": 22840, "start": 232.4, "end": 235.4, "text": "相当于不属于官方的一个范围。", "tokens": [50565, 15106, 16233, 37732, 1960, 9636, 252, 37732, 31929, 9249, 1546, 20182, 27395, 225, 3919, 112, 1543, 50715], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 76, "seek": 22840, "start": 235.4, "end": 237.4, "text": "然后表现最好的是Cloud Code。", "tokens": [50715, 26636, 17571, 20204, 8661, 20715, 1541, 32787, 15549, 1543, 50815], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 77, "seek": 22840, "start": 237.4, "end": 238.4, "text": "这个应该是在我的意料中的。", "tokens": [50815, 15368, 44297, 44646, 1541, 3581, 14200, 9042, 33404, 5975, 1546, 1543, 50865], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 78, "seek": 22840, "start": 238.4, "end": 240.4, "text": "毕竟它有那么一套成熟的一个流程。", "tokens": [50865, 7256, 243, 11957, 253, 11284, 2412, 35693, 2257, 1881, 245, 11336, 21805, 253, 1546, 20182, 27854, 29649, 1543, 50965], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 79, "seek": 22840, "start": 240.4, "end": 244.4, "text": "那么我在测试过程中也是把所有的技能都全部禁用掉了。", "tokens": [50965, 35693, 40528, 11038, 233, 5233, 243, 16866, 29649, 5975, 22021, 16075, 39300, 1546, 32502, 8225, 7182, 38714, 18614, 223, 9254, 29327, 2289, 1543, 51165], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 80, "seek": 22840, "start": 244.4, "end": 250.4, "text": "然后基本上用纯内置提示词加上这个模型的能力来跑这样一个结果。", "tokens": [51165, 26636, 37946, 5708, 9254, 16853, 107, 34742, 34719, 20949, 25696, 5233, 235, 9990, 5708, 15368, 41908, 39823, 1546, 8225, 13486, 6912, 32585, 21209, 20182, 45641, 9319, 1543, 51465], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 81, "seek": 22840, "start": 250.4, "end": 252.4, "text": "所以从我这个测试结果啊。", "tokens": [51465, 7239, 35630, 1654, 15368, 11038, 233, 5233, 243, 45641, 9319, 4905, 1543, 51565], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 82, "seek": 22840, "start": 252.4, "end": 254.4, "text": "虽然说不代表一个权威啊。", "tokens": [51565, 12026, 121, 5823, 8090, 1960, 19105, 17571, 20182, 4422, 225, 19976, 223, 4905, 1543, 51665], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 83, "seek": 22840, "start": 254.4, "end": 257.4, "text": "来看还是推荐大家使用Cloud Code去对接DeepSick Flash。", "tokens": [51665, 6912, 4200, 45726, 33597, 31409, 238, 6868, 22982, 9254, 32787, 15549, 6734, 8713, 14468, 11089, 595, 50, 618, 20232, 1543, 51815], "temperature": 0, "avg_logprob": -0.08598965437954696, "compression_ratio": 1.3865979381443299, "no_speech_prob": 1.523139253611916e-11}, {"id": 84, "seek": 25740, "start": 257.4, "end": 259.4, "text": "会比较好一点。", "tokens": [50365, 12949, 11706, 9830, 225, 2131, 49042, 1543, 50465], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 85, "seek": 25740, "start": 259.4, "end": 260.4, "text": "毕竟生态比较丰富嘛。", "tokens": [50465, 7256, 243, 11957, 253, 8244, 3757, 223, 11706, 9830, 225, 940, 108, 47564, 20722, 1543, 50515], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 86, "seek": 25740, "start": 260.4, "end": 263.4, "text": "然后或者说你使用Cloud X也行。", "tokens": [50515, 26636, 31148, 8090, 2166, 22982, 9254, 32787, 1783, 6404, 8082, 1543, 50665], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 87, "seek": 25740, "start": 263.4, "end": 265.4, "text": "那么你可以推荐你使用这个Open Code。", "tokens": [50665, 35693, 42766, 33597, 31409, 238, 2166, 22982, 9254, 15368, 45569, 15549, 1543, 50765], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 88, "seek": 25740, "start": 265.4, "end": 268.4, "text": "那么其实不管是Cloud Code还是Cloud App。", "tokens": [50765, 35693, 41646, 45376, 1541, 32787, 15549, 45726, 32787, 3132, 1543, 50915], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 89, "seek": 25740, "start": 268.4, "end": 270.4, "text": "他们的内置的提示词或者流程,", "tokens": [50915, 47911, 1546, 34742, 34719, 1546, 20949, 25696, 5233, 235, 31148, 27854, 29649, 11, 51015], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 90, "seek": 25740, "start": 270.4, "end": 272.4, "text": "肯定是优先适配于自己的模型。", "tokens": [51015, 14356, 107, 12088, 1541, 7384, 246, 10108, 2215, 224, 38846, 37732, 17645, 1546, 41908, 39823, 1543, 51115], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 91, "seek": 25740, "start": 272.4, "end": 275.4, "text": "那比如说在之前的视频里面我分享过了。", "tokens": [51115, 4184, 36757, 8090, 3581, 32442, 1546, 40656, 39752, 15759, 8833, 1654, 30855, 16866, 2289, 1543, 51265], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 92, "seek": 25740, "start": 275.4, "end": 279.4, "text": "Cloud Code在OPUS5.0之后会减省80%的内置提示词。", "tokens": [51265, 32787, 15549, 3581, 12059, 3447, 20, 13, 15, 9574, 13547, 12949, 6336, 237, 2862, 223, 4702, 4, 1546, 34742, 34719, 20949, 25696, 5233, 235, 1543, 51465], "temperature": 0, "avg_logprob": -0.14382916026645237, "compression_ratio": 1.2640264026402641, "no_speech_prob": 1.602515342646882e-11}, {"id": 93, "seek": 27940, "start": 279.4, "end": 282.4, "text": "那么针对非OPUS5.0的模型。", "tokens": [50365, 35693, 25153, 230, 8713, 12107, 12059, 3447, 20, 13, 15, 1546, 41908, 39823, 1543, 50515], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 94, "seek": 27940, "start": 282.4, "end": 285.4, "text": "他们会用其他的这种提示词。", "tokens": [50515, 47911, 12949, 9254, 9572, 31309, 5562, 39810, 20949, 25696, 5233, 235, 1543, 50665], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 95, "seek": 27940, "start": 285.4, "end": 289.4, "text": "那么可能当DeepSick的能力超过OPUS5.0。", "tokens": [50665, 35693, 16657, 16233, 11089, 595, 50, 618, 1546, 8225, 13486, 19869, 16866, 12059, 3447, 20, 13, 15, 1543, 50865], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 96, "seek": 27940, "start": 289.4, "end": 291.4, "text": "那么再使用Cloud Code的时候。", "tokens": [50865, 35693, 8623, 22982, 9254, 32787, 15549, 49873, 1543, 50965], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 97, "seek": 27940, "start": 291.4, "end": 294.4, "text": "那么就会用老的提示词用到乔模型上。", "tokens": [50965, 35693, 3111, 12949, 9254, 10439, 1546, 20949, 25696, 5233, 235, 9254, 4511, 2930, 242, 41908, 39823, 5708, 1543, 51115], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 98, "seek": 27940, "start": 294.4, "end": 295.4, "text": "那效果可能会打折。", "tokens": [51115, 4184, 43076, 9319, 16657, 12949, 12467, 7235, 246, 1543, 51165], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 99, "seek": 27940, "start": 295.4, "end": 299.4, "text": "所以最好的还是模型公司自己出了这个AI变成工具。", "tokens": [51165, 7239, 8661, 20715, 45726, 41908, 39823, 13545, 32981, 17645, 7781, 2289, 15368, 48698, 2129, 246, 11336, 23323, 39806, 1543, 51365], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 100, "seek": 27940, "start": 299.4, "end": 300.4, "text": "或者我们叫Hannis工具。", "tokens": [51365, 31148, 15003, 19855, 39, 969, 271, 23323, 39806, 1543, 51415], "temperature": 0, "avg_logprob": -0.12066665649414063, "compression_ratio": 1.250936329588015, "no_speech_prob": 1.6628384433281518e-11}, {"id": 101, "seek": 30040, "start": 300.4, "end": 303.4, "text": "DepSick官方最近也在内测自己的这个Hannis工具。", "tokens": [50365, 35, 595, 50, 618, 31929, 9249, 46777, 6404, 3581, 34742, 11038, 233, 17645, 1546, 15368, 39, 969, 271, 23323, 39806, 1543, 50515], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 102, "seek": 30040, "start": 303.4, "end": 305.4, "text": "也非常期待它的正式上线。", "tokens": [50515, 6404, 14392, 16786, 18390, 45224, 15789, 27584, 5708, 16853, 123, 1543, 50615], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 103, "seek": 30040, "start": 305.4, "end": 307.4, "text": "到时候我们再来测试一下。", "tokens": [50615, 4511, 29111, 15003, 8623, 6912, 11038, 233, 5233, 243, 8861, 1543, 50715], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 104, "seek": 30040, "start": 307.4, "end": 308.4, "text": "然后这几个工具的话。", "tokens": [50715, 26636, 5562, 6336, 254, 7549, 23323, 39806, 44575, 1543, 50765], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 105, "seek": 30040, "start": 308.4, "end": 310.4, "text": "如果你喜欢自己折腾。", "tokens": [50765, 45669, 41606, 17645, 7235, 246, 21184, 122, 1543, 50865], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 106, "seek": 30040, "start": 310.4, "end": 312.4, "text": "那希望自己去配置单独的包。", "tokens": [50865, 4184, 29955, 17645, 6734, 38846, 34719, 47446, 18637, 105, 1546, 23305, 1543, 50965], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 107, "seek": 30040, "start": 312.4, "end": 314.4, "text": "或者说第三方的扩展。", "tokens": [50965, 31148, 8090, 35878, 9249, 1546, 3416, 102, 43491, 1543, 51065], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 108, "seek": 30040, "start": 314.4, "end": 316.4, "text": "那么我非常推荐使用Pi。", "tokens": [51065, 35693, 1654, 14392, 33597, 31409, 238, 22982, 9254, 47, 72, 1543, 51165], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 109, "seek": 30040, "start": 316.4, "end": 319.4, "text": "因为Pi其实是一个非常简单的一个Agent工具。", "tokens": [51165, 34627, 47, 72, 41646, 1541, 20182, 14392, 11249, 222, 47446, 1546, 20182, 32, 6930, 23323, 39806, 1543, 51315], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 110, "seek": 30040, "start": 319.4, "end": 321.4, "text": "它不仅可以开发自己的Agent工具。", "tokens": [51315, 11284, 1960, 1550, 227, 6723, 18937, 28926, 17645, 1546, 32, 6930, 23323, 39806, 1543, 51415], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 111, "seek": 30040, "start": 321.4, "end": 323.4, "text": "使用它来进行编程。", "tokens": [51415, 22982, 9254, 11284, 6912, 36700, 8082, 38109, 244, 29649, 1543, 51515], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 112, "seek": 30040, "start": 323.4, "end": 325.4, "text": "当然它的官网也有非常的第三方包。", "tokens": [51515, 40486, 45224, 31929, 16469, 239, 6404, 2412, 48263, 35878, 9249, 23305, 1543, 51615], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 113, "seek": 30040, "start": 325.4, "end": 329.4, "text": "比如说像子代理,像动态工作流,像目标。", "tokens": [51615, 36757, 8090, 12760, 7626, 19105, 13876, 11, 12760, 34961, 3757, 223, 41315, 27854, 11, 12760, 11386, 162, 3921, 1543, 51815], "temperature": 0, "avg_logprob": -0.10537213087081909, "compression_ratio": 1.389920424403183, "no_speech_prob": 1.5910132586394177e-11}, {"id": 114, "seek": 32940, "start": 329.4, "end": 332.4, "text": "以及其他的非常好用的一些包。", "tokens": [50365, 40282, 9572, 31309, 14392, 2131, 9254, 1546, 38515, 23305, 1543, 50515], "temperature": 0, "avg_logprob": -0.1418332271888608, "compression_ratio": 1.24, "no_speech_prob": 1.4174096792107793e-11}, {"id": 115, "seek": 32940, "start": 332.4, "end": 334.4, "text": "那你把它按需要去加载进来。", "tokens": [50515, 4184, 2166, 42061, 26613, 35748, 6734, 9990, 17819, 121, 36700, 6912, 1543, 50615], "temperature": 0, "avg_logprob": -0.1418332271888608, "compression_ratio": 1.24, "no_speech_prob": 1.4174096792107793e-11}, {"id": 116, "seek": 32940, "start": 334.4, "end": 336.4, "text": "那也是一个非常好用的工具。", "tokens": [50615, 4184, 22021, 20182, 14392, 2131, 9254, 1546, 23323, 39806, 1543, 50715], "temperature": 0, "avg_logprob": -0.1418332271888608, "compression_ratio": 1.24, "no_speech_prob": 1.4174096792107793e-11}, {"id": 117, "seek": 32940, "start": 336.4, "end": 337.4, "text": "那么视频就到这儿。", "tokens": [50715, 35693, 40656, 39752, 45918, 5562, 22933, 1543, 50765], "temperature": 0, "avg_logprob": -0.1418332271888608, "compression_ratio": 1.24, "no_speech_prob": 1.4174096792107793e-11}, {"id": 118, "seek": 32940, "start": 337.4, "end": 338.4, "text": "希望这个视频对你有所帮助。", "tokens": [50765, 29955, 15368, 40656, 39752, 8713, 43320, 5966, 4845, 106, 37618, 1543, 50815], "temperature": 0, "avg_logprob": -0.1418332271888608, "compression_ratio": 1.24, "no_speech_prob": 1.4174096792107793e-11}], "language": "zh"}