Resources

A collection of prompt engineering guides, courses, and forums to help you get the most out of LLMs.

Official Documentation

First-party guides from AI providers

Comprehensive guide covering clarity, examples, chain-of-thought, XML tags, and more for Claude models.

Best practices for GPT models including writing clear instructions, providing reference text, and splitting complex tasks.

Tips for writing effective prompts for Grok models, including code generation and advanced API usage patterns.

Techniques for prompting Gemini models effectively, including multimodal prompting.

Structured learning paths

Free short course by Isa Fulford and Andrew Ng on using LLM APIs for summarization, inference, and more.

Open-source curriculum covering beginner to advanced prompt engineering techniques.

Stay current with the community

Popular open-source guide with practical tips, strategies, and real-world examples from Brex.

Research-driven guide covering techniques like few-shot, chain-of-thought, ReAct, and more.

Active Reddit community sharing tips, discoveries, and discussions on prompt engineering.