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MLflow

@MLflow

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An open source machine learning platform for managing the complete ML lifecycle

San Francisco, CA
Joined August 2018
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@MLflow
MLflow
@MLflow
13 hours
📣 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
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@MLflow
MLflow
@MLflow
1 day
Join us for MLflow Office Hours on August 6! 🔗
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lu.ma
Join us for the next MLflow Office Hours on Wednesday, August 6, for an open Q&A session with MLflow maintainers and contributors! 🎊 Whether you're managing…
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@MLflow
MLflow
@MLflow
1 day
Continue the conversation and by joining us on Slack! ➡️
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@MLflow
MLflow
@MLflow
1 day
Get started with Managed MLflow:
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@MLflow
MLflow
@MLflow
1 day
Q: Does image support in the tracing UI include images generated by models, or only those submitted by the user?.
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@MLflow
MLflow
@MLflow
1 day
Q: If I am adding manual tracing rather than using autologging, can I control what shows up in the summary view vs. detailed view?.
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@MLflow
MLflow
@MLflow
1 day
Hi everyone! Thanks for joining us for today's MLflow Community Meetup. If you have any questions about today's topics: MLflow 3.2 and Managed MLflow, let us know in the comments. 😎 👇.
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@MLflow
MLflow
@MLflow
1 day
MLflow Community Meetup | July 23, 2025
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@MLflow
MLflow
@MLflow
1 day
🚨 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
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@MLflow
MLflow
@MLflow
2 days
🎥 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:.✅
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@MLflow
MLflow
@MLflow
3 days
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
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@MLflow
MLflow
@MLflow
4 days
🚨 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
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@MLflow
MLflow
@MLflow
7 days
"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
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@MLflow
MLflow
@MLflow
7 days
RT @getpy: Even for AI agents all you need is @DSPyOSS and @MLflow
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@MLflow
MLflow
@MLflow
8 days
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
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@MLflow
MLflow
@MLflow
8 days
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:.✅
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@MLflow
MLflow
@MLflow
9 days
🎥 “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
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@MLflow
MLflow
@MLflow
9 days
🚨 Happening TOMORROW, July 17 — Agents in Production 2025 is almost here!. Don’t miss “Driving Evaluation-Driven Development with MLflow 3.0” by Yuki Watanabe, Senior Software Engineer at Databricks. Get an inside look at MLflow 3.0’s powerful new features:.✅ One-line
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