What is Chain-of-Thought Reasoning?
A prompting technique where LLMs generate multi-step reasoning, explanations, or solutions by thinking step by step.
More about Chain-of-Thought Reasoning:
Chain-of-Thought Reasoning is a prompt engineering strategy where an LLM is guided to "think out loud"—breaking complex problems into clear, step-by-step reasoning paths. This improves model transparency, logical consistency, and often accuracy for tasks like math, coding, or planning.
Chain-of-thought reasoning is central to reasoning engines, few-shot prompting, and advanced agentic workflows.
Frequently Asked Questions
When should chain-of-thought prompting be used?
It is especially useful for complex tasks that benefit from stepwise reasoning, such as math, logic puzzles, and code generation.
How does chain-of-thought reasoning help in agentic workflows?
It makes agents’ decisions more interpretable, reliable, and adaptable in observation-action loops.
From the blog
Revolutionizing University Engagement with AI Chatbots: A Look at SiteSpeakAI
Explore how universities are leveraging AI chatbots to enhance student engagement and streamline administrative tasks. Discover SiteSpeakAI, a tool that trains chatbots on website content to answer visitor queries.
Herman Schutte
Founder
Unleashing the Power of AI: Adding a ChatGPT Chatbot to Your Website
An AI chatbot can serve as a dynamic tool to improve your site's user experience by providing instant, accurate responses to your visitors' queries. However, not all chatbots are created equal.
Herman Schutte
Founder