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CoT
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CoT

Creator
Creator
Seonglae Cho
Created
Created
2023 Mar 21 13:54
Editor
Editor
Seonglae Cho
Edited
Edited
2025 Apr 27 0:43
Refs
Refs
Reasoning Model

Chain-of-Thought

The impact of reasoning process prompts on results
An important finding is that the effectiveness of CoT increases as the language model size grows
CoT Variants
Zero-shot-CoT
CoD
ToT
CoT-SC
GoT
Chain of Hindsight
Symbolic CoT
Implicit CoT
 

LogiCoT

notion image
notion image
 
 
arxiv.org
https://arxiv.org/pdf/2201.11903
Maximizing the Potential of LLMs: A Guide to Prompt Engineering
Maximizing the Potential of LLMs: A Guide to Prompt Engineering
https://www.ruxu.dev/articles/ai/maximizing-the-potential-of-llms
 
 

Backlinks

Interpretable AIOmniJARVISAI AlignmentAI ScalingAI JailbreakAI ScalingLLM as a JudgeReasoning ModelBig-BenchAI ResearcherPreparedness FrameworkCOCONUT

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CoT
Copyright Seonglae Cho