Category:
Category:
Category:
Agentic AI & Reasoning
Definition
A reasoning technique where LLMs generate step-by-step logic before answering.
Explanation
CoT enables LLMs to show intermediate reasoning steps, improving performance on math, logic, planning, and structured tasks. Variants include zero-shot CoT, few-shot CoT, hidden CoT (not exposed to users), and self-consistency (multiple reasoning paths). CoT is a foundation for planning agents, enabling them to decompose tasks and reduce errors.
Technical Architecture
Prompt → Step-by-Step Reasoning → Answer → (Optional) Verification
Core Component
Reasoning templates, examples, self-consistency modules
Use Cases
Planning agents, code generation, analysis, structured decisions
Pitfalls
Slow output, verbose responses, possible reasoning leakage
LLM Keywords
Chain of Thought, COT Prompting, Reasoning steps
Related Concepts
Related Frameworks
• ReAct
• Self-Reflection
• Planning
• CoT Reasoning Structure