Chain-of-Thought (CoT)
A prompting technique that improves LLM reasoning by encouraging step-by-step explanation.
In more detail
Chain-of-Thought prompting asks models to explain their reasoning step-by-step before answering. This improves accuracy on complex reasoning tasks. Related techniques include Tree-of-Thought and Graph-of-Thought for more sophisticated reasoning.
Examples
- Math problem solving with steps
- Logic reasoning with justification
- Code explanation with steps
Related terms
Ready to Build Production AI Systems?
Join a small cohort learning directly from an engineer who's shipped AI at Atlassian and PhonePe scale.
20 weeks · Weekend live classes · 1:1 mentorship · 20+ projects.
20 Weeks
Live Weekend Classes
< 30 Seats
Small Batch
Next Soon
Get priority access
7-Day
Money-Back Guarantee
Taught by Debasish Maji · Senior AI Engineer · Ex-Atlassian (Rovo Agent) · Ex-PhonePe (550M+ users)
Get notified when the next batch opens + free AI resources