MLflow

MLflow is an open-source "MLOps platform" providing a full solution for managing the machine learning lifecycle from experimentation through deployment.

Though not generative AI, it is a vital "AI Developer Tools" platform widely adopted by ML engineers.

Key features include "model versioning" to track model iterations, experiment tracking, and robust tools for "model packaging" and "REST API serving" facilitating easy deployment.

By standardizing MLOps, MLflow enables reproducibility, collaboration, and reliable, scalable deployment of machine learning models, accelerating AI development workflows.