大语言模型的每个参数到底能储存多少信息
Our take: ICML 2026 paper on LLM parameter information capacity; real breakthrough from Meta/DeepMind/NVIDIA.
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Research quantifies that LLM parameters store approximately 3.6 bits of information each, and explains how models transition from memorization to generalization when training data exceeds model capacity.
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