---
title: "How ‘Chain of Thought’ Makes Transformers Smarter"
url: https://daily.dev/posts/how-chain-of-thought-makes-transformers-smarter-4ww2ckcv8
source_url: https://www.marktechpost.com/2024/05/12/how-chain-of-thought-makes-transformers-smarter/
type: article
source: "Machine Learning News"
published: 2024-05-13T01:04:51.782Z
updated: 2024-05-13T01:04:50.306Z
tags: ["deep-learning", "llm", "transformers"]
reading_time: 3
upvotes: 3
comments: 0
language: en
---

> ## Documentation Index
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> Use this file to discover all available pages before exploring further.

# How ‘Chain of Thought’ Makes Transformers Smarter

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 3 min read · 3 upvotes · 0 comments

## Summary

Large Language Models like GPT-3 exhibit exceptional capabilities in complex reasoning tasks. The key to unlocking advanced reasoning abilities lies in the 'chain of thought' approach, which allows models to generate intermediate reasoning steps before arriving at the final answer. This approach improves reasoning abilities in transformers by enabling them to perform serial computations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/05/12/how-chain-of-thought-makes-transformers-smarter/>

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Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#llm](https://daily.dev/tags/llm), [#transformers](https://daily.dev/tags/transformers)

[View this post on daily.dev](https://daily.dev/posts/how-chain-of-thought-makes-transformers-smarter-4ww2ckcv8)