GitHub - joseprupi/valyq: Model Validation using LLMs
Dec 20, 2024 - github.com
The LLM Model Validation Tool is an intelligent platform designed to automate and enhance the validation of machine learning models using Large Language Models (LLMs). Inspired by financial model validation practices and regulatory guidelines like SR 11-7, it aims to ensure models meet quality standards, are well-documented, and behave as expected. Key features include automated test generation, interactive testing, file management, test result visualization, report generation, and an extensible architecture supporting multiple LLM providers. The tool consists of a React-based frontend, a Flask-based backend API, and an isolated execution service for secure model testing.
To install and run the application, users need to clone the repository, set up a Python environment, install frontend dependencies, and configure environment variables. The application allows users to create validation instances by uploading model files, generate and run tests, and produce detailed validation reports. Contributions are welcome, and the project is licensed under the MIT License. Users can access support by creating issues for bug reports or feature requests.
Key takeaways:
```html
The LLM Model Validation Tool automates and enhances the testing and validation of machine learning models using Large Language Models (LLMs).
Inspired by financial model validation practices, it incorporates principles from the Federal Reserve's SR 11-7 guidance.
Key features include automated test generation, interactive testing, file management, test result visualization, and report generation.
The tool has a modular architecture with a React-based frontend, Flask-based backend API, and an isolated execution service.
