This repository provides an interactive tutorial for prompt engineering with Anthropic's Claude 3 models via Amazon Bedrock. It's designed for developers and researchers aiming to master prompt construction for various use cases, from basic clarity to advanced tool use and multimodal capabilities. The course offers a structured, hands-on approach to understanding Claude's strengths and weaknesses, enabling users to build effective prompts from scratch.

How It Works

The tutorial is structured into 9 chapters, each with lessons and practical exercises. It emphasizes hands-on experimentation through an "Example Playground" where users can modify prompts and observe Claude's responses. The course primarily uses Claude 3 Haiku, the smallest and fastest model, but also covers concepts applicable to Sonnet and Opus. Key techniques include mastering basic prompt structure, assigning roles, separating data from instructions, output formatting, step-by-step thinking, few-shot learning, hallucination avoidance, and tool/function calling.

Quick Start & Requirements

• Access to Amazon Bedrock and Anthropic's Claude 3 models (Haiku, Sonnet, Opus).
• No specific installation required; it's a web-based tutorial.
• Recommended to follow the chapters sequentially starting from 00_Tutorial_How-To.
• Links: Course Introduction

Highlighted Details

• Covers basic to advanced prompt engineering techniques.
• Includes practical exercises and an "Example Playground" for experimentation.
• Addresses specific use cases like chatbots, legal, and financial services.
• Explores advanced features such as tool use and multimodal vision capabilities.

Maintenance & Community

This repository is part of the aws-samples organization, indicating official AWS backing. Further community or maintenance details are not explicitly provided in the README.

Licensing & Compatibility

The repository is licensed under the Apache License 2.0. This license is permissive and generally compatible with commercial use and closed-source applications.

Limitations & Caveats

The tutorial focuses on Anthropic's Claude 3 models and Amazon Bedrock; it may not directly translate to other LLMs or platforms without adaptation. While it uses Claude 3 Haiku for cost-effectiveness, advanced capabilities might be more pronounced in larger models like Sonnet or Opus.