About MLflow
Discover MLflow, the open-source MLOps platform streamlining AI development. Manage ML & GenAI lifecycles with experiment tracking, model deployment, and LLM observability.
Overview
- End-to-end platform for managing ML and Generative AI lifecycles from development to production
- Unified solution supporting traditional ML models and modern LLM applications
- Open-source foundation with 25+ integrations for flexible ecosystem compatibility
- Trusted by global enterprises with 14M+ monthly downloads and 600+ contributors
Use Cases
- Developing enterprise-grade generative AI applications with traceability
- Fine-tuning and evaluating large language models (LLMs)
- Deploying machine learning models across cloud and on-prem environments
- Building Retrieval-Augmented Generation (RAG) systems with quality control
Key Features
- Comprehensive experiment tracking for models, prompts, and LLM interactions
- AI Gateway for secure LLM deployment management at scale
- Tracing system for GenAI observability and performance analysis
- Evaluation API with built-in metrics for LLM and RAG assessment
Final Recommendation
- Ideal for organizations scaling AI initiatives across multiple teams
- Essential for projects requiring strict model governance and compliance
- Recommended for tech companies integrating traditional ML with GenAI
- Valuable for research institutions needing reproducible experiment tracking
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