MLflow is an open-source MLOps platform for simplifying the development and deployment of machine learning and generative AI applications. It offers a unified and comprehensive solution that seamlessly integrates with any ML library and platform, supporting both traditional ML and GenAI workflows. MLflow allows you to streamline the entire lifecycle of your projects, from development to production, with features like prompt engineering for improved generative AI quality and easy tracking of progress during fine-tuning.
The platform boasts native integrations with popular deep learning frameworks such as PyTorch, TensorFlow, and Keras, providing a simple, low-code performance tracking experience through autologging. The end-to-end MLOps solution ensures secure hosting of large language models at scale, while also simplifying the packaging and deployment of models for both batch and real-time inference.