MLflow
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About
MLflow is an open-source MLOps platform designed to streamline the machine learning lifecycle, making it easier to manage, track, and deploy machine learning and generative AI projects. It supports experiment tracking, visualization, model management, and observability, allowing users to address complex real-world challenges. Key features include integration with popular machine learning libraries and tools, unified management of traditional ML and GenAI applications, and secure model hosting at scale. With a strong community and extensive learning resources, MLflow aims to enhance the quality and efficiency of AI applications.
Platform
Task
Features
• prompt engineering
• generative ai
• experiment tracking
• observability
• visualization
• model registry
• deep learning
• serving
• evaluation
• packaging and deploying models
• evaluation of llms
• traditional ml
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