Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Wei, Wang, Schuurmans, Bosma et al. · NeurIPS · 2022

Abstract

Demonstrates that prompting a model to produce intermediate reasoning steps sharply improves performance on arithmetic, commonsense, and symbolic tasks at sufficient scale.

Why it matters

Why "let's think step by step" works. The practical root of every reasoning-heavy prompt and the reasoning-model wave that followed.

reasoningpromptingchain of thought

Read the source

https://arxiv.org/abs/2201.11903

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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

The AI space moves fast.Nybble™ is how you keep up — and stay sharp.

The AI space moves fast.
Nybble^™ is how you keep up — and stay sharp.