Unverified50% confidenceFactExact time
规模定律的发现直接催生了GPT-3、GPT-4、PaLM等超大规模模型
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
热爱LLM却厌恶炒作：工程师如何理性看待大语言模型
Related Claims
Unverified代码推理能力的质变在 GPT-3 到 GPT-4 的代际跨越中被系统性观察到，符合规模化定律的涌现现象82% similarUnverifiedGPT-4 and Claude 3.5 are cited as examples of sufficiently capable underlying models.76% similarVerifiedFrom GPT-1 to GPT-3, the model architecture itself did not undergo fundamental changes; the primary improvements came from the expansion of parameter scale and the increase in training data, confirming the Scaling Law.76% similarVerifiedGPT-4和Mixtral等主流大模型也采用了MoE架构75% similarUnverifiedGPT-2到GPT-3参数量从15亿提升到1750亿，是Scaling Law驱动的代际突破75% similar
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