---
title: "Discussion on \"AI Paper Review: Self-Consistency Improves Chain of Thought Reasoning in Language Models\" | Hashnode"
description: "Discussion on \"AI Paper Review: Self-Consistency Improves Chain of Thought Reasoning in Language Models\". When Chain-of-Thought Prompting was introduced, it showed that large language models could solve many difficult reasoning problems simply by thinking step by step before producing an answer.\nIt was a"
url: "https://hashnode.com/posts/ai-paper-review-self-consistency-improves-chain-of-thought-reasoning-in-language-models/6a4e9d39cf634d0e556a13ac"
---

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# [AI Paper Review: Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://freecodecamp.org/news/ai-paper-review-self-consistency-improves-chain-of-thought-reasoning-in-language-models?utm_source=hashnode&utm_medium=feed)

When Chain-of-Thought Prompting was introduced, it showed that large language models could solve many difficult reasoning problems simply by thinking step by step before producing an answer. It was a

Jul 8 · 27 min read · freecodecamp.org  
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[Mohammed Fahd Abrah](https://hashnode.com/@mohammed-fahd-abrah)

@mohammed-fahd-abrah · Kuala Lumpur, Malaysia

  
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