Unverified50% confidenceFactExact time
2001年尼尔森·科万的修正研究将工作记忆容量数字压缩至4个组块，每个组块持续时间不超过15-30秒
1
Sources
50%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
Building an AI Second Brain: The Complete NotebookLM + Obsidian Workflow
bilibiliAI_Express6/16/2026
Related Claims
UnverifiedQuantization technology compresses 32-bit or 16-bit floating-point weights into 4-bit or 8-bit integer representations, trading a small amount of precision for improvements in memory usage and speed.73% similarUnverifiedCowan's embedded-processes model holds that the effective capacity of working memory is closer to 4 chunks.71% similarPartially VerifiedA standard FP32 model occupies 4 bytes per parameter, while INT4 quantization compresses this to 0.5 bytes, theoretically achieving an 8x memory saving.70% similar
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