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OpenAI Prompt Engineering Guide

by Various

Learn strategies and tactics for better results using large language models in the OpenAI API.

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OpenAI Prompt Engineering Guide

Added 1 June 2026

Overview

A free guide from OpenAI that teaches strategies and tactics for getting better results from large language models via their API. It covers prompt design, iteration techniques, and common pitfalls. The content is actionable for developers working with GPT models.

Best for

Best for
Developers new to prompt engineering who want a concise, official starting point

Use cases

  • Structuring prompts for more accurate API responses
  • Reducing hallucinations and irrelevant outputs
  • Iterating on prompt drafts systematically

Notes

A free guide from OpenAI that teaches strategies and tactics for getting better results from large language models via their API. It covers prompt design, iteration techniques, and common pitfalls. The content is actionable for developers working with GPT models.

Use cases

  • Structuring prompts for more accurate API responses
  • Reducing hallucinations and irrelevant outputs
  • Iterating on prompt drafts systematically

Pros

  • Authoritative source directly from the model provider
  • Packed with concrete, tested examples and sample prompts
  • Focuses on practical tactics rather than abstract theory

Cons

  • Specific to OpenAI’s models; advice may not transfer to other providers
  • Covers only the basics; advanced users may outgrow it quickly
  • Not a tool itself, just a reference document

Indexed from awesome-generative-ai and enriched against its public facts.

Pros

  • Authoritative source directly from the model provider
  • Packed with concrete, tested examples and sample prompts
  • Focuses on practical tactics rather than abstract theory

Cons

  • Specific to OpenAI's models; advice may not transfer to other providers
  • Covers only the basics; advanced users may outgrow it quickly
  • Not a tool itself, just a reference document