MLflow @MLflow

An open source machine learning platform for managing the complete ML lifecycle mlflow.org San Francisco, CA Joined August 2018

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MLflow @MLflow

12 hours ago

🚨 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 @MLflow

3 days ago

🚨 Episode #4 of the Invoice Extraction with @OpenAI GPT-5 and MLflow series by #MLflow Ambassador Shrinath Suresh is now live! In this episode, you'll get hands-on with data preparation for inference, covering: ✅ Loading and preparing the CORD v2 dataset ✅ Structuring schemas…

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MLflow @MLflow

5 days ago

🔁 Applying SDLC to GenAI with MLflow AI agents need the same discipline as traditional software—testing, monitoring, and feedback. In this video, Nikhil Thorat and Samraj Moorjani from @databricks show how MLflow 3 brings SDLC-style rigor to GenAI with domain-specific LLM…

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MLflow @MLflow

6 days ago

The third episode in the Invoice Extraction with OpenAI GPT-5 & MLflow series is live, focusing on Prompt Management. 🚀 #MLflow Ambassador Shrinath Suresh shows how to version and compare prompts, automate workflows with 𝚖𝚕𝚏𝚕𝚘𝚠.𝚐𝚎𝚗𝚊𝚒, and track and reuse them…

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MLflow @MLflow

a week ago

In this clip, Yuki Watanabe highlights how the MLflow #GenAI evaluate API brings automated LLM-based scoring metrics, easy custom judge creation, and complete lineage tracking for every experiment. This means you’ll never lose track of what works—and can quickly improve your…

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Melvin Vivas @donvito

a week ago

I was able to make @MLflow work with @DSPyOSS for tracing It's so simple! Run an mlflow server mlflow server --host 127.0.0.1 --port 8080 (add persistence if you need) Then enable it in DSPy mlflow.dspy.autolog() If you're curious about the IDE I am using, it's @jetbrains…

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MLflow @MLflow

2 weeks ago

Introduction to Invoice Extraction Using @OpenAI GPT-5 and MLflow 3 Extracting structured data from invoices is crucial for many businesses. OpenAI's GPT-5 models are highly capable at this task, but getting it right and making it repeatable requires experimentation, evaluation,…

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MLflow @MLflow

2 weeks ago

🚀 Join the next MLflow Community Meetup on Oct 1 at 4PM PT! 🔹 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗘𝘃𝗮𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗿𝗮𝗰𝗲-𝗔𝘄𝗮𝗿𝗲, 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸-𝗔𝗹𝗶𝗴𝗻𝗲𝗱 𝗝𝘂𝗱𝗴𝗲𝘀: MLflow’s judges assess not just answers, but also the retrievals and steps behind them—and…

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MLflow @MLflow

2 weeks ago

With MLflow 3.3, the Traces tab in experiment tracking now displays assessment metrics at the top level, making it easier to observe patterns, spot outliers, and monitor quality trends without opening individual traces. ✅ 🔹 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗰𝗼𝗹𝘂𝗺𝗻𝘀 showing key…

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MLflow @MLflow

2 weeks ago

Building GenAI tools presents a unique set of challenges. Evaluating accuracy, iterating on prompts, and enabling collaboration often introduce bottlenecks that delay progress toward production. The latest blog highlights how MLflow’s #GenAI capabilities streamline development…

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MLflow @MLflow

3 weeks ago

How can you deploy machine learning models that work across global markets, yet adapt to local data? 🤔 This blog looks at the “Coffee Machine” approach: global teams set up standardized ML pipelines, and local teams adapt them using their own data. ☕ MLflow supports every…

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MLflow @MLflow

3 weeks ago

📣 Happening Tomorrow — MLflow Office Hours! Join MLflow maintainers and contributors for an interactive live Q&A session. Whether you’re running MLflow in production or experimenting with LLMs and GenAI, this is your chance to bring real challenges and get direct feedback.…

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MLflow @MLflow

3 weeks ago

Have you heard about MLflow’s new mlflow.genai evaluation module? 🔍 One of the biggest challenges in #GenAI projects is maintaining a consistent evaluation process across the entire lifecycle. MLflow Ambassador Joana Ferreira just published an excellent walkthrough on building…

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MLflow @MLflow

4 weeks ago

When you're building AI agents, evaluation gets tricky fast. Agents make multiple decisions, use tools, and follow complex reasoning paths to reach their conclusions—you need to assess the entire workflow, not just the final output. #MLflow's agent evaluation framework addresses…

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MLflow @MLflow

a month ago

With #MLflow, you can version your agents and capture their code, parameters, and evaluation metrics for every iteration. This makes it easier to understand how an agent has changed over time and to reproduce past results when needed. ✅ By managing agents in a central place,…

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MLflow @MLflow

a month ago

In this blog by #MLflow Ambassador Rahul Pandey, learn how the MLflow Prompt Registry helps teams move from scattered notebook files and chat threads to a streamlined prompt management process—one that’s versioned, searchable, and always ready for rollbacks. 🚀 Discover how…

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MLflow @MLflow

a month ago

📣 MLflow 3.3.0 is now available! 🔗 Check out the release notes: github.com/mlflow/mlflow/… This release introduces several major features and improvements: 🔹 𝗠𝗼𝗱𝗲𝗹 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀: Support for webhooks on model registry events, enabling automated…

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MLflow @MLflow

a month ago

📣 MLflow Office Hours — Wednesday, Sept 10 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. You'll get:…