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
deepdiffpackage 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.