MLflow
@MLflow
An open source machine learning platform for managing the complete ML lifecycle
Production AI agents ≠ set it and forget it. At #DataAISummit, Eric Peter and Niall Turbitt from @databricks dive deep into what it actually takes to monitor and improve AI agent quality in the real world — beyond just latency and error rates. In this talk, they showcase how…

📣 Join us on Wednesday, August 6, for the next #MLflow Office Hours—an open Q&A session with MLflow maintainers and contributors! Whether you're managing models in production, experimenting with LLM workflows, or exploring new features in MLflow, this is your chance to get…

🚨 Reminder: MLflow Community Meetup is Today! Don't miss the #MLflow Community Meetup happening today, July 23 at 4:00PM PT! Join us for an interactive session packed with the latest updates and practical insights from the MLflow ecosystem. What’s on the Agenda? 👉 MLflow 3.2…

🎥 MLflow 3.0: AI and MLOps on @databricks #MLflow 3.0 makes it easier to manage machine learning models and generative AI on Databricks. From experiment tracking to production deployment, automate your workflow and keep everything organized in one place. Session highlights: ✅…

TOMORROW, July 23 📣 MLflow Community Meetup Join us for an interactive session packed with the latest updates and insights from the MLflow ecosystem: 🔹MLflow 3.2: Discover the newest UI updates in MLflow 3. Learn how these enhancements, including significant UI updates, can…

🚨 Just 2 DAYS away! Don’t miss the next MLflow Community Meetup this Wednesday, July 23 at 4:00 PM PT! We’ll be covering key updates and giving you a chance to ask questions live: 🔹 MLflow 3.2 – Get a walk-through of the latest UI improvements and how they can help you work…

"When we update any part of a system, we need to make sure we’re not introducing regressions — and ideally, that we’re improving quality. One way to address this is through evaluation-driven development." - Yuki Watanabe, MLflow Maintainer 💬 📊 The evaluation-driven development…
Model evaluation is the foundation of reliable machine learning. With #MLflow’s evaluation framework, you get more than just accuracy—you get deep insights into model behavior, automated testing, rich visualizations, and validation pipelines. 𝗪𝗵𝘆 𝗠𝗟𝗳𝗹𝗼𝘄…

Happening TODAY! 🚨 Join Agents in Production 2025 for a can’t-miss session on building evaluation-driven Agentic systems with MLflow 3.0. 🎙️ “Driving Evaluation-Driven Development with MLflow 3.0” with Yuki Watanabe, Senior Software Engineer at @databricks Learn how to: ✅…

🎥 “People ask for it. It’s open-source. It works for both classical ML and GenAI. And it’s easy to start.” At the May MLflow Community Meetup, @mnrozhkov from @nebiusai shared why their team chose #MLflow as their experiment tracking and observability platform. Discover how…