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MLflow's profile picture. An open source machine learning platform for managing the complete ML lifecycle

MLflow

@MLflow

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

1K貼文 11K位跟隨者 46個跟隨中
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MLflow's profile picture.
MLflow
@MLflow
5 小時

In MLflow 3.4, the make_judge method introduces a declarative way to create MLflow Scorers, the core abstraction for automated evaluation. With simple instructions, you can build judges that understand your domain’s quality requirements and automatically align with feedback from…

MLflow's tweet image. In MLflow 3.4, the make_judge method introduces a declarative way to create MLflow Scorers, the core abstraction for automated evaluation. With simple instructions, you can build judges that understand your domain’s quality requirements and automatically align with feedback from…
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MLflow's profile picture.
MLflow
@MLflow
7 小時

📣 MLflow Office Hours — Wednesday, October 22 at 8AM PT Connect directly with MLflow maintainers and contributors for live Q&A! Bring your production challenges or your latest LLM and GenAI experiments—this session is dedicated to hands-on technical discussion and feedback.…

MLflow's tweet image. 📣 MLflow Office Hours — Wednesday, October 22 at 8AM PT Connect directly with MLflow maintainers and contributors for live Q&A! Bring your production challenges or your latest LLM and GenAI experiments—this session is dedicated to hands-on technical discussion and feedback.…
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MLflow's profile picture.
MLflow
@MLflow
年10月13日

MLflow 3.4 introduces an MCP server that enables conversational analysis of MLflow traces with assistants like Claude. Ask Claude—or any MCP‑compatible tool—to find failed traces, compare successful and unsuccessful runs, and identify patterns in retrieval steps. In this post,…

MLflow's tweet image. MLflow 3.4 introduces an MCP server that enables conversational analysis of MLflow traces with assistants like Claude. Ask Claude—or any MCP‑compatible tool—to find failed traces, compare successful and unsuccessful runs, and identify patterns in retrieval steps. In this post,…
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MLflow's profile picture.
MLflow
@MLflow
年10月9日

📣 Kicking off NOW: Join the live, text-based AMA with Danny Chiao and Daniel Liden right here in the MLflow #general Slack channel from 1–3 PM CT—drop questions on MLflow, agent trace analysis, labeling strategies, deployment tips, and more! 🙌 Join here ➡️…

MLflow's tweet image. 📣 Kicking off NOW: Join the live, text-based AMA with Danny Chiao and Daniel Liden right here in the MLflow #general Slack channel from 1–3 PM CT—drop questions on MLflow, agent trace analysis, labeling strategies, deployment tips, and more! 🙌 Join here ➡️…
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MLflow's profile picture.
MLflow
@MLflow
年10月9日

In his lightning talk at @MLOpsWorld, Danny Chiao tackled a top agent challenge: ensuring high‑quality outputs. Rather than labeling and analyzing traces by hand, MLflow makes it easy to log, evaluate, and iterate faster—using techniques leading companies rely on to deploy…

MLflow's tweet image. In his lightning talk at @MLOpsWorld, Danny Chiao tackled a top agent challenge: ensuring high‑quality outputs. Rather than labeling and analyzing traces by hand, MLflow makes it easy to log, evaluate, and iterate faster—using techniques leading companies rely on to deploy…
MLflow's tweet image. In his lightning talk at @MLOpsWorld, Danny Chiao tackled a top agent challenge: ensuring high‑quality outputs. Rather than labeling and analyzing traces by hand, MLflow makes it easy to log, evaluate, and iterate faster—using techniques leading companies rely on to deploy…
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MLflow's profile picture.
MLflow
@MLflow
年10月9日

Attending MLOps World | GenAI Summit in Austin? 🙌 Don’t miss today’s lightning talk on the expo floor: 10:35–10:50 AM CT — “Techniques to build high‑quality agents faster with MLflow” with Danny Chiao 🔗 Learn more: mlopsworld.com/#agenda Have MLflow questions? Join the…

MLflow's tweet image. Attending MLOps World | GenAI Summit in Austin? 🙌 Don’t miss today’s lightning talk on the expo floor: 10:35–10:50 AM CT — “Techniques to build high‑quality agents faster with MLflow” with Danny Chiao 🔗 Learn more: mlopsworld.com/#agenda Have MLflow questions? Join the…
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MLflow's profile picture.
MLflow
@MLflow
年10月7日

MLflow 3.4 introduces make_judge, a declarative API for building domain-specific LLM judges that automatically align with expert preferences. This approach removes complex prompt engineering, enables agentic scorers with built-in trace introspection, and delivers meaningful…

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MLflow's profile picture.
MLflow
@MLflow
年10月7日

🚨 Reminder: MLflow Community Meetup is tomorrow, Oct 8 at 4:00 PM PT! We'll dive into: 🔹 Trace‑aware, feedback‑aligned judges in MLflow that evaluate answers, retrievals, and steps—and improve with real user feedback. 🔹 Versioned eval datasets that evolve with the app—update,…

MLflow's tweet image. 🚨 Reminder: MLflow Community Meetup is tomorrow, Oct 8 at 4:00 PM PT! We'll dive into: 🔹 Trace‑aware, feedback‑aligned judges in MLflow that evaluate answers, retrievals, and steps—and improve with real user feedback. 🔹 Versioned eval datasets that evolve with the app—update,…
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MLflow's profile picture.
MLflow
@MLflow
年10月6日

Building better LLM evaluations? Ben Wilson highlights how using frameworks like @DSPyOSS can help automate and optimize judge prompts—making your evaluations more reliable as models evolve. Best practice: focus on reproducible pipelines, re-tune judge logic when endpoints…

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MLflow's profile picture.
MLflow
@MLflow
年10月3日

Ready to dive into #MLflow? 🚀 Join our text-based LIVE AMA with Danny Chiao and Daniel Liden after Danny's @MLOpsWorld lightning talk! 🗓️ Oct 9 | 1–3pm CT 📍MLflow Slack | #General channel 🔗 RSVP: luma.com/liveama-slack1… Bring your questions on agent trace analysis,…

MLflow's tweet image. Ready to dive into #MLflow? 🚀 Join our text-based LIVE AMA with Danny Chiao and Daniel Liden after Danny's @MLOpsWorld lightning talk! 🗓️ Oct 9 | 1–3pm CT 📍MLflow Slack | #General channel 🔗 RSVP: luma.com/liveama-slack1… Bring your questions on agent trace analysis,…
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MLflow's profile picture.
MLflow
@MLflow
年10月2日

🚀 Part 6 of the 𝗜𝗻𝘃𝗼𝗶𝗰𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗢𝗽𝗲𝗻𝗔𝗜 + 𝗠𝗟𝗳𝗹𝗼𝘄 series is live! 𝚖𝚕𝚏𝚕𝚘𝚠.𝚘𝚙𝚎𝚗𝚊𝚒.𝚊𝚞𝚝𝚘𝚕𝚘𝚐() is all you need. 🙌 In this video, #MLflow Ambassador Shrinath Suresh dives into MLflow Tracing, a powerful feature designed to…

MLflow's tweet image. 🚀 Part 6 of the 𝗜𝗻𝘃𝗼𝗶𝗰𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗢𝗽𝗲𝗻𝗔𝗜 + 𝗠𝗟𝗳𝗹𝗼𝘄 series is live! 𝚖𝚕𝚏𝚕𝚘𝚠.𝚘𝚙𝚎𝚗𝚊𝚒.𝚊𝚞𝚝𝚘𝚕𝚘𝚐() is all you need. 🙌 In this video, #MLflow Ambassador Shrinath Suresh dives into MLflow Tracing, a powerful feature designed to…
MLflow's tweet image. 🚀 Part 6 of the 𝗜𝗻𝘃𝗼𝗶𝗰𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗢𝗽𝗲𝗻𝗔𝗜 + 𝗠𝗟𝗳𝗹𝗼𝘄 series is live! 𝚖𝚕𝚏𝚕𝚘𝚠.𝚘𝚙𝚎𝚗𝚊𝚒.𝚊𝚞𝚝𝚘𝚕𝚘𝚐() is all you need. 🙌 In this video, #MLflow Ambassador Shrinath Suresh dives into MLflow Tracing, a powerful feature designed to…
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MLflow's profile picture.
MLflow
@MLflow
年10月1日

🚀 Headed to MLOps World | GenAI Summit 2025 next week? Don’t miss an exciting lightning talk from Danny Chiao, Engineering Lead at @Databricks! 🎤 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗵𝗶𝗴𝗵 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗴𝗲𝗻𝘁𝘀 𝗳𝗮𝘀𝘁𝗲𝗿 𝘄𝗶𝘁𝗵 𝗠𝗟𝗳𝗹𝗼𝘄 Building high-quality…

MLflow's tweet image. 🚀 Headed to MLOps World | GenAI Summit 2025 next week? Don’t miss an exciting lightning talk from Danny Chiao, Engineering Lead at @Databricks! 🎤 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗵𝗶𝗴𝗵 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗴𝗲𝗻𝘁𝘀 𝗳𝗮𝘀𝘁𝗲𝗿 𝘄𝗶𝘁𝗵 𝗠𝗟𝗳𝗹𝗼𝘄 Building high-quality…
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MLflow's profile picture.
MLflow
@MLflow
年10月1日

🚨 RESCHEDULED: Wednesday, October 8 The next MLflow Community Meetup happens NEXT Wednesday, Oct 8 at 4PM PT—and you won’t want to miss it. RSVP here: luma.com/mlflow-1001

MLflow's tweet card. Join us for the next MLflow Community Meetup on October 8 at 4PM PT! Ben Wilson, MLflow Maintainer, will dive deep into: Building Smarter Evals with…
MLflow Community Meetup · Luma
來源: luma.com
MLflow's profile picture. An open source machine learning platform for managing the complete ML lifecycle
MLflow
@MLflow
年10月1日

Our next MLflow Community Meetup is happening TODAY—Wednesday, October 1 at 4PM PT! 🙌 Don’t miss this chance to connect and learn: 🔹 Smarter Evaluations with Trace-Aware, Feedback-Aligned Judges – elevate your evaluations by looking beyond answers, focusing on retrievals and…

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MLflow's profile picture.
MLflow
@MLflow
年10月1日

Our next MLflow Community Meetup is happening TODAY—Wednesday, October 1 at 4PM PT! 🙌 Don’t miss this chance to connect and learn: 🔹 Smarter Evaluations with Trace-Aware, Feedback-Aligned Judges – elevate your evaluations by looking beyond answers, focusing on retrievals and…

MLflow's profile picture. An open source machine learning platform for managing the complete ML lifecycle
MLflow
@MLflow
年9月29日

🚨 Just two days away! The next MLflow Community Meetup happens this Wednesday, Oct 1 at 4PM PT—and you won’t want to miss it. Here’s what we’ll cover: 🔹 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗘𝘃𝗮𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗿𝗮𝗰𝗲-𝗔𝘄𝗮𝗿𝗲, 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸-𝗔𝗹𝗶𝗴𝗻𝗲𝗱 𝗝𝘂𝗱𝗴𝗲𝘀 –…

MLflow's tweet image. 🚨 Just two days away! The next MLflow Community Meetup happens this Wednesday, Oct 1 at 4PM PT—and you won’t want to miss it. Here’s what we’ll cover: 🔹 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗘𝘃𝗮𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗿𝗮𝗰𝗲-𝗔𝘄𝗮𝗿𝗲, 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸-𝗔𝗹𝗶𝗴𝗻𝗲𝗱 𝗝𝘂𝗱𝗴𝗲𝘀 –…
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MLflow's profile picture.
MLflow
@MLflow
年9月30日

🚀 The fifth installment of the 𝘐𝘯𝘷𝘰𝘪𝘤𝘦 𝘌𝘹𝘵𝘳𝘢𝘤𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘖𝘱𝘦𝘯𝘈𝘐 + 𝘔𝘓𝘧𝘭𝘰𝘸 series is now available! In this session, #MLflow Ambassador Shrinath Suresh explores how to design a custom scorer to evaluate invoice extraction models beyond ground truth…

MLflow's tweet image. 🚀 The fifth installment of the 𝘐𝘯𝘷𝘰𝘪𝘤𝘦 𝘌𝘹𝘵𝘳𝘢𝘤𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘖𝘱𝘦𝘯𝘈𝘐 + 𝘔𝘓𝘧𝘭𝘰𝘸 series is now available! In this session, #MLflow Ambassador Shrinath Suresh explores how to design a custom scorer to evaluate invoice extraction models beyond ground truth…
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MLflow's profile picture.
MLflow
@MLflow
年9月29日

🚨 Just two days away! The next MLflow Community Meetup happens this Wednesday, Oct 1 at 4PM PT—and you won’t want to miss it. Here’s what we’ll cover: 🔹 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗘𝘃𝗮𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗿𝗮𝗰𝗲-𝗔𝘄𝗮𝗿𝗲, 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸-𝗔𝗹𝗶𝗴𝗻𝗲𝗱 𝗝𝘂𝗱𝗴𝗲𝘀 –…

MLflow's tweet image. 🚨 Just two days away! The next MLflow Community Meetup happens this Wednesday, Oct 1 at 4PM PT—and you won’t want to miss it. Here’s what we’ll cover: 🔹 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗘𝘃𝗮𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗿𝗮𝗰𝗲-𝗔𝘄𝗮𝗿𝗲, 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸-𝗔𝗹𝗶𝗴𝗻𝗲𝗱 𝗝𝘂𝗱𝗴𝗲𝘀 –…
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