Skip to content

dipolesource/continuous-alignment-testing

 
 

Repository files navigation

Python Tests CAT

Continuous Alignment Testing (CAT) Framework

A framework for implementing Continuous Alignment Testing (CAT) for LLM-based applications.

Overview

CAT provides the infrastructure to:

  • Run and track automated tests against an AI application.
  • Store and analyze AI test results over iterations.
  • Monitor reliability changes in an AI application as prompts, models, code, and data evolve.
  • Integrate AI tests into the CI pipeline.
  • Build the AI application as an API service.
  • Ensure AI applications are reliable while maintaining creativity.
  • Iterate on prompts and code while measuring improvements.

Example Apps

Documentation

Github Pages

Pages Source in docs github-pages-badge

Wiki

Wiki Pages

About

CAT AI - very much work in progress

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Jupyter Notebook 70.9%
  • Python 29.1%