AI Tech Suite

MLflow

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About

MLflow is a comprehensive, open-source MLOps platform that allows users to manage the entire lifecycle of machine learning and generative AI projects. It provides features such as experiment tracking, model registry, and serving capabilities, enabling users to build better models and generative AI applications. Leveraging its integrations with popular ML libraries and platforms like TensorFlow, PyTorch, and Keras, MLflow supports a unified approach to both traditional ML and GenAI applications. Users can benefit from enhanced observability, secure hosting of models, and streamlined management of the ML lifecycle, all while benefiting from a large community and extensive learning resources.

Platform

Keywords

machine learning generative ai open source mlops model management

Task

mlops management

Features

• generative ai

• experiment tracking

• visualization

• model registry

• serving

• observability tools

• dynamic deployment options

• integration with various ml libraries

• deep learning support

• end-to-end ml workflow management

• evaluation

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