Learning Resources

A curated list of courses, papers, and communities to continue your learning journey in this fast-evolving field.

Learning Resources

The field of prompt engineering is constantly and rapidly evolving. The techniques and tools that are state-of-the-art today may be just the basics tomorrow.

This page provides a curated list of high-quality resources to help you continue your learning journey and stay on the cutting edge.

Comprehensive Guides & Courses

These are some of the best places for structured, in-depth learning.

• Prompt Engineering Guide

  • An excellent, community-driven guide that covers all the essentials and advanced techniques. A fantastic ongoing resource.

• Learn Prompting

  • A comprehensive open-source course on prompt engineering, taking you from the fundamentals to expert-level skills.

• ChatGPT Prompt Engineering for Developers

  • A popular and highly-recommended short course by Andrew Ng's DeepLearning.AI, focused on practical applications for developers.

Foundational Research Papers

For those who want to understand the science behind these techniques, reading the original papers is invaluable.

• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)

  • The influential paper that introduced and demonstrated the power of the Chain-of-Thought technique.

• Self-Consistency Improves Chain of Thought Reasoning in Language Models (Wang et al., 2022)

  • The paper that proposed the Self-Consistency method to improve the reliability of CoT.

• Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Yao et al., 2023)

  • The paper introducing the advanced Tree of Thoughts (ToT) framework for more complex problem-solving.

Community & Curated Lists

• r/PromptEngineering on Reddit

  • The largest online community for discussing news, techniques, and challenges in the world of prompt engineering.

• Awesome Prompt Engineering on GitHub

  • A curated "awesome list" of resources, tools, papers, and guides related to prompt engineering.