Missed last week’s #MLflow Community Meetup? Check out Ben Wilson on agentic judges: “The judge no longer works as an LLM as a judge—it actually works as an agent as a judge.”

🎥 Full video: www.youtube.com/live/bkMabn8...

#opensource #oss #agenticjudges

Building better LLM evals? Ben Wilson highlights how frameworks like #DSPy boost judge prompts—and reliability—as models evolve.

Tips for judge reproducibility/reliability: use reproducible pipelines, re-tune logic as endpoints change, & standardize. ✅

🎥 Watch more: www.youtube.com/live/HTxpmnO...

📣 MLflow 3.3.0 is now available!

This release introduces several major features and improvements:
🔹 𝗠𝗼𝗱𝗲𝗹 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀
🔹 𝗔𝗴𝗻𝗼 𝗧𝗿𝗮𝗰𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻
🔹 𝗚𝗲𝗻𝗔𝗜 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗢𝗦𝗦
🔹 𝗥𝗲𝘃𝗮𝗺𝗽𝗲𝗱 𝗧𝗿𝗮𝗰𝗲 𝗧𝗮𝗯𝗹𝗲 𝗩𝗶𝗲𝘄
🔹 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 + 𝗨𝘃𝗶𝗰𝗼𝗿𝗻 𝗦𝗲𝗿𝘃𝗲𝗿

🔗 Check out the release notes: github.com/mlflow/mlflo...

#oss

MLflow 3.2 is here! 🚀

Key updates include:
🔹 𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁 𝗦𝗗𝗞 𝗳𝗼𝗿 𝗧𝗿𝗮𝗰𝗶𝗻𝗴
🔹 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗞𝗲𝗿𝗻𝗲𝗹 𝗧𝗿𝗮𝗰𝗶𝗻𝗴
🔹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗟𝗼𝗴𝗴𝗶𝗻𝗴
🔹 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗨𝗜 𝗥𝗲𝗳𝗿𝗲𝘀𝗵
🔹 𝗧𝗿𝗮𝗰𝗲 𝗨𝗜 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀
🔹 𝗣𝗜𝗜 𝗠𝗮𝘀𝗸𝗶𝗻𝗴 𝗶𝗻 𝗧𝗿𝗮𝗰𝗶𝗻𝗴
🔹 𝗣𝗼𝗹𝗮𝗿𝘀 𝗗𝗮𝘁𝗮𝗙𝗿𝗮𝗺𝗲 𝗟𝗼𝗴𝗴𝗶𝗻𝗴

🔗 Check out the full release notes → github.com/mlflow/mlflo...

#oss

"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 💬

🔗 Watch the full webinar: www.youtube.com/watch?v=-jzm...

🎥 “People ask for it. It’s open-source. It works for both classical ML and GenAI. And it’s easy to start.”

Mikhail Rozhkov from Nebius shares why their team chose #MLflow as their experiment tracking and observability platform.

👀 Watch the full video: www.youtube.com/live/4Ok-03P...

#opensource

MLflow will soon support TypeScript natively! 🙌

You'll be able to:
✅ Track, monitor, and evaluate projects in Python, TypeScript, or JavaScript—all in one place
✅ Unify workflows across data science & full-stack development

👀 Get an exclusive preview: www.youtube.com/watch?v=-jzm...

#oss #mlflow

At what stage or scale of an ML project would you recommend moving from self-hosted MLflow to SageMaker managed MLflow?

Watch the full clip for the answer! ⤵️

#sagemaker #mlflow #opensource #oss #ML