MLflow
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About
MLflow is an open-source MLOps platform designed to simplify the entire machine learning and generative AI lifecycle. It enables users to build better models and deploy generative AI applications on a unified, end-to-end platform. Key capabilities include experiment tracking, visualization, generative AI development, observability, evaluation, model management, model registry, and serving. MLflow is highly flexible, integrating with any ML library and platform, and can be run on various environments including Databricks, cloud providers, datacenters, or local computers. It offers comprehensive tools for managing workflows from development to production and provides unified support for both traditional ML and GenAI applications.
Platform
Task
Features
• generative ai capabilities
• prompt engineering
• experiment tracking
• visualization
• model evaluation
• model serving and deployment
• model management and registry
• llm observability with tracing
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