Prompt Chaining is a technique in prompt engineering where you break down a complex task into smaller, connected prompts instead of relying on a single long prompt. Each step produces an output that feeds into the next step, forming a "chain" of prompts.
Think of it like solving a puzzle step by step instead of trying to complete it all at once.
Why Do We Need Prompt Chaining?
Large Language Models (LLMs) like GPT-4, Claude, or Gemini are powerful but can get confused with long, complex instructions. Prompt chaining helps by:
Breaking big problems into smaller, manageable parts
Reducing chances of hallucination or irrelevant answers
Producing more accurate, step-by-step results
Allowing logical reasoning across multiple steps