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
Pairs with
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