A Python project demonstrating the use of the deepdiff package to visualize and analyze differences between Large Language Model (LLM) responses.

This project showcases how to:

• Compare LLM responses before and after performance optimizations
• Utilize the deepdiff package for detailed difference analysis
• Visualize structural and content changes in LLM outputs

• Deep comparison of LLM response structures
• Detailed visualization of changes
• Performance impact analysis
• Sample data stored in JSON format

• Python
• deepdiff package
• LLM integration (implementation specific)
• JSON data storage

Currently uses hardcoded data from JSON files for demonstration purposes. Documentation and examples coming soon.