Individuals with a basic understanding of AI who are interested in exploring the capabilities of language models. Familiarity with technical terms, such as APIs, is required.
Welcome to the Prompt Engineering Interactive Tutorial!
Course introduction and goals
This course is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude.
After completing this course, you will be able to:
Course structure and content
This course is structured to allow you many chances to practice writing and troubleshooting prompts yourself. The course is broken up into 9 chapters with accompanying exercises, as well as an appendix of even more advanced methods. It is intended for you to work through the course in chapter order.
Note: This tutorial uses our smallest, fastest, and cheapest model, Claude 3 Haiku. We have two other models, Claude 3 Sonnet and Claude 3 Opus, which are more intelligent than Haiku, with Opus being the most intelligent.
When you are ready to begin, click on the Basic Prompt Structure to proceed.
Table of Contents
[the]nameless note:
This tutorial was originally published on Google Sheets by Anthropic. I've rewritten and adapted the tutorial for the web to suit my needs and preferences. Any formatting or content issues are probably mine. Please DM me on Twitter or open a GitHub issue to report any problems.
Enough intro, let's delve into it!
2024-05-12: Beta release with settings to input a personal API key
2024-05-09: Utilize tool use for exercises that could benefit from it2024-05-05: Add metrics such as Time-To-First-Token (TTFT), End-to-End (E2E) latency, and the number of input and output tokens2024-04-29: Support interactive mode in playground for examples and exercises2024-04-27: Alpha release with non-interactive playgrounds2024-04-25: De-sheetify tutorial content