话题 / interdisciplinary literacy

观点转述 · 非原话引用

Wide knowledge enables effective prompting

Wide knowledge allows users to recognize and invoke relevant conceptual frameworks (e.g., design thinking, Bayesian reasoning) that LLMs know but do not volunteer unless prompted with appropriate terminology.

观点背后的信息

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The Overhang

原始摘录

The training data for LLMs is a large swath of humanity’s vast output. The AI has learned something of design thinking and Bayesian reasoning and the Toyota Production System and Rogerian therapy and Marxist literary criticism. But AI tends not to volunteer any of these patterns unless you know to ask.
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But you don’t just need deep knowledge, you also want wide knowledge.

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