About this document
Chain of Thought in Transformers Explained by alinajt2022 is a document available to read on EtoBox.
This paper explores the effectiveness of the chain of thought (CoT) method in enhancing the reasoning capabilities of large language models (LLMs) by enabling them to perform inherently serial computations. The authors provide a theoretical framework demonstrating that CoT allows constant-depth transformers to solve complex problems that require more serial computations, which traditional transformers struggle with. Empirical evaluations confirm that CoT significantly improves performance on tasks that are
- Author
- alinajt2022
- Language
- EN