This repository provides an interactive tutorial for prompt engineering with Ollama, targeting users who want to master prompt design for LLMs. It offers a structured, hands-on approach to building effective prompts, improving model responses, and understanding common pitfalls.

How It Works

The tutorial is structured into 9 chapters, each with lessons and practical exercises. It utilizes an "Example Playground" feature within each lesson, allowing users to experiment with prompt variations and observe immediate feedback from the 'qwen2.5:14b' model. This iterative approach facilitates learning by doing, enabling users to practice prompt writing and troubleshooting in a controlled environment.

Quick Start & Requirements

• Install: Follow the instructions in the tutorial chapters to set up Ollama and download the qwen2.5:14b model (or qwen2.5:7b if hardware is limited).
• Prerequisites: Ollama installed, qwen2.5:14b or qwen2.5:7b model downloaded.
• Resources: Requires sufficient disk space for the model and RAM for inference.
• Links: 01_Basic Prompt Structure

Highlighted Details

• Covers 9 chapters of prompt engineering techniques, from basic structure to complex industry use cases.
• Includes practical exercises and an "Example Playground" for hands-on experimentation.
• Focuses on the qwen2.5:14b model, with a smaller qwen2.5:7b alternative.
• Appendix covers advanced topics like chaining prompts and tool use.

Maintenance & Community

This project is a personal initiative inspired by Anthropic's tutorial. No specific community channels or maintainer information are provided in the README.

Licensing & Compatibility

The repository does not specify a license.

Limitations & Caveats

The tutorial is focused solely on the qwen2.5 model family and Ollama. Advanced features like "Search & Retrieval" are marked as "coming soon maybe," indicating potential incompleteness.