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MLflow
ML and GenAI made simple

MLflow
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What is MLflow?

MLflow is a unified, open-source MLOps platform designed to streamline the entire machine learning and generative AI lifecycle. It provides a comprehensive solution for managing workflows, from initial development stages to final production deployment.

MLflow offers a range of tools for experiment tracking, model management, and deployment, supporting both traditional machine learning and generative AI applications. Its open-source nature allows integration with a wide variety of ML libraries and platforms, making it highly adaptable to different environments and projects.

Features

  • Experiment tracking: Visualization and tracking of project progress.
  • Generative AI: Tools for improving generative AI quality and building applications with prompt engineering.
  • Observability: Enhance LLM observability with tracing.
  • Evaluation: Evaluating traditional ML and Generative AI, including Retrieval Augmented Generation applications.
  • Models: Package and deploy models.
  • Model Registry: Manage models.
  • Serving: Securely host LLMs at scale with MLflow Deployments.

Use Cases

  • Developing and deploying machine learning models.
  • Building and managing generative AI applications.
  • Tracking and visualizing experiment results.
  • Evaluating the performance of LLMs.
  • Managing the complete ML lifecycle, from experimentation to production.

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