Automated Performance Report Generation

Project Overview

This project explores the use of Large Language Models (LLMs) through LangChain to automatically generate detailed performance reports from network data. We'll learn prompt engineering and how to create coherent, context-aware text generation systems.

Key Learning Objectives

• Understanding LangChain framework
• Prompt engineering techniques
• Structured output generation
• Data-to-text generation
• Report template creation and customization

Technologies Used

• Python
• LangChain
• OpenAI API
• pandas for data processing
• Jinja2 for templating

Additional Resources

For detailed implementation guide, code examples, and step-by-step instructions, please visit the GitHub Project Repository.