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Intro & Table of Contents

May 18, 2024 - thenameless.net
This markdown data introduces an interactive tutorial aimed at individuals with a basic understanding of AI, specifically designed to teach them how to engineer optimal prompts within an AI model named Claude. The course is structured in a step-by-step manner, offering a comprehensive understanding of prompt structure, recognizing and addressing common failure modes, understanding Claude's strengths and weaknesses, and building strong prompts from scratch. The course is divided into nine chapters with exercises and an appendix of advanced methods.

The tutorial uses Claude 3 Haiku, the smallest, fastest, and cheapest model, but also mentions two other models, Claude 3 Sonnet and Claude 3 Opus, which are more intelligent. The course content ranges from beginner to advanced levels, covering topics from basic prompt structure to complex prompts for various services. The tutorial was originally published on Google Sheets by Anthropic and has been adapted for the web. It has undergone several updates, including the addition of metrics, interactive mode, and personal API key settings.

Key takeaways:

  • This tutorial provides a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude, including mastering the basic structure of a good prompt and recognizing common failure modes.
  • The course is structured into 9 chapters with exercises, and is intended to be worked through in chapter order.
  • The tutorial uses the Claude 3 Haiku model, but also mentions two other more intelligent models, Claude 3 Sonnet and Claude 3 Opus.
  • The tutorial was originally published on Google Sheets by Anthropic and has been adapted for the web, with any formatting or content issues likely due to the adaptation.
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