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4o-mini只有8B,o1也才300B,微软论文意外曝光GPT核心机密
对了,省去中间过程,这项研究得出的结论是:Claude 3.5 Sonnet在错误标志检测方面优于其他LLM方法,得分为70.16,第二名是o1-mini。 23年10月,微软论文声称GPT-3.5-Turbo只有20B参数的时候,就有人感叹:难怪OpenAI对开源模型这么紧张。
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