@MLflow Avatar @MLflow MLflow

MLflow posts on X about 6969, ai, llm, databricks the most. They currently have [------] followers and [---] posts still getting attention that total [---] engagements in the last [--] hours.

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Social Influence

Social category influence technology brands 20% events #1187 cryptocurrencies 1% social networks 1% travel destinations 1% stocks 1%

Social topic influence 6969 #1452, ai 26%, llm #918, databricks #73, how to 11%, data ai summit #4, build 8%, agents #2677, open ai 6%, we are 4%

Top accounts mentioned or mentioned by @databricks @dspyoss @shrinathsuresh @langchainai @llamaindex @openai @aiondatabricksboostingdspyoptimizerobservabilitywithmlflow698b6dc29ea7 @opentelemetry @huggingface @gitlab @mlopscommunity @davisblalock @bandish @kaggle @pytorch @cleanlabais @dataaisummit @dspyosss @unitycatalogio @laudeinstitute

Top Social Posts

Top posts by engagements in the last [--] hours

"Stop treating your training data like a "one-off" CSV. 🛑 We version code. We version models. Why are we still losing track of the exact data used in experiments 🤔 If you cant point to the specific slice of data used your experiment isn't reproducibleits just a lucky run. 🍀 In the latest episode of "Getting Started with MLflow" @shrinathsuresh breaks down how MLflow Dataset Tracking closes the gap: 🔹 Log datasets from pandas Spark & Hugging Face 🔹 Auto-capture schemas to track changes 🔹 Maintain clear version history as data evolves Data changes are just as critical as model changes."
X Link 2026-02-09T14:25Z 11K followers, [---] engagements

"📣 Join our next webinar: . Want to know whats coming in MLflow [----] You dont want to miss this 🙌 We're diving deep into all of the awesome features in MLflow [----] including: 🔹 MLflow Workspaces support 🔹 Multi-turn conversation simulation 🔹 AI Gateway usage tracking 🔹 MLflow demo experiment 🗓 February [--] 🕒 4:00 PM PT 👉 Register: #opensource #oss #mlflow #agents #observability https://luma.com/mlflow-3.10-webinar https://luma.com/mlflow-3.10-webinar"
X Link 2026-02-10T20:22Z 11K followers, [---] engagements

"Building agents is just the beginningunderstanding and improving them is the real challenge. Serena Ruan introduces the MLflow Agent Dashboard a unified solution to peek under the hood of your complex AI agents. Deep Visibility at a Glance: 📌 : Monitor request volume latency and token costs in real-time. 📌 : Get a high-level summary of your agent's reliability based on predefined scorers. 📌 ( .): See exactly how your tools are being utilized to pinpoint failures or bottlenecks. Stop guessing how your models tools and prompts are performing. Get the full picture of your agents health"
X Link 2026-02-11T20:12Z 11K followers, [---] engagements

"📣 Building an agent has become easier but evaluation remains the "hard part." While LLM-as-a-judge is the standard for scaling evaluation developers often hit a wall: ❌ Can't combine frameworks ❌ Can't compare across frameworks ❌ Can't visualize trends MLflow has integrated DeepEval RAGAS and Arize Phoenix into the MLflowScorerAPI 🤝 You can now from these frameworks through a single API (..) and a unified UI. 🥳 : 🔹 Access all metrics through one interface 🔹 Run metrics from different evaluation frameworks together in a single evaluation 🔹 Compare judges side-by-side in MLflow UI"
X Link 2026-02-06T15:02Z 11K followers, [---] engagements

"Deep Dive into MLflow [---] Features for Agent Observability and Quality https://x.com/i/broadcasts/1YqKDNkRvVYJV https://x.com/i/broadcasts/1YqKDNkRvVYJV"
X Link 2026-02-05T00:00Z 11K followers, [---] engagements

"Building AI agents is easy. Building reliable AI agents for production Thats the real challenge. 🤖 Join the Agentic + AI Observability Meetup at the @Databricks SF office on Feb [--] for an evening dedicated to Agentic + AI Observability. Well cover real-world patterns failure modes and how to leverage MLflows tracing and evaluation tools to build reliable agentic systems across the broader open-source ecosystem. 🚀 📍 San Francisco 📅 Feb [--] [--] PM - [--] PM PT 🔗 RSVP: #MLflow #AIAgents #GenAI #LLMOps https://luma.com/8kbfjhlu https://luma.com/8kbfjhlu"
X Link 2026-02-06T18:40Z 11K followers, [---] engagements

"🤖 New Feature in MLflow 3.9: Judge Builder UI Defining the perfect evaluation metric shouldn't require endless code cycles. In MLflow [---] you can now define and iterate on custom LLM judge prompts directly from the UI. How it works: 🔹 : Within the new "Judges" tab you can create your own specialized prompts for an LLM judge= 🔹 : Run test evaluations on your existing traces to see exactly how the judge would output before committing 🔹 : Once you're happy with the results export the configuration to use with the MLflow SDK for your wider evaluations This UI makes it easy to align automated"
X Link 2026-02-10T00:02Z 11K followers, [----] engagements

"The challenge with LLM judges is making them both accurate and efficient. In this clip Samraj Moorjani introduces MemAlign an optimization technique in MLflow [---] that helps judges learn from human feedback in real-time. How MemAlign Works: 🔹Semantic Guidelines: It distills specific human feedback into broad actionable rules the judge can follow. 🔹Episodic Memory: When evaluating a new case it retrieves similar past examples (via "retrieval K") to guide its current judgment. The Result MemAlign adapts dramatically faster and cheaper than traditional methods all while maintaining the same"
X Link 2026-02-10T17:25Z 11K followers, [---] engagements

"Struggling to find answers in documentation or debug complex traces In this clip Yuki Watanabe walks us through a new feature in MLflow 3.9: MLflow Assistant powered by Claude Code. Why its a big deal Instead of manual data digging you can now interact with your code and traces directly. MLflow Assistant lives right in your MLflow panel and can: 🔹 Summarize entire chat sessions in seconds 🔹 Identify issues like performance bottlenecks or user frustration 🔹 Explain outcomes without you needing to hunt through docs 🔗 Learn more & dive into other MLflow [---] features: #MLflow #Observerability"
X Link 2026-02-12T19:13Z 11K followers, [---] engagements

"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 to apply software development lifecycle best practices (unit tests QA testing production telemetry) to GenAI application quality using MLflow [--] a solution that gives technical teams full visibility into agent performance and quality. What they covered: ✅ Monitoring key operational metrics like cost errors and request volume ✅"
X Link 2025-07-25T16:42Z 11K followers, [---] engagements

"🔁 Applying SDLC to GenAI with MLflow AI agents need the same discipline as traditional softwaretesting monitoring and feedback. At #DataAISummit Nikhil Thorat and Samraj Moorjani from @databricks showed how MLflow [--] brings SDLC-style rigor to GenAI with domain-specific LLM judges: 🔹Build evaluation datasets for real-world scenarios 🔹Collecting domain expert feedback about quality 🔹Write LLM judges for your domain (accuracy compliance helpfulness) and align those judges with domain expert judgements 🔹Use the results to catch regressions and drive improvement This turns agent quality into"
X Link 2025-07-28T13:19Z 11K followers, [----] engagements

"In this clip we talk - : a framework that encodes human expectations directly into the development cycle. Why Custom Judges Matter: 🧠 : Use judges to enforce strict constraints like ensuring a financial bot never provides unauthorized advice. 🤖 : Replace ambiguity with clear domain-specific evaluations that both humans and LLMs can understand. 📕 : Bridge the gap between technical builds and real-world requirements by using expert-defined "judges" to audit performance. By shifting the focus to evaluation you can build agents that are not only more capable but alsomore reliable in"
X Link 2026-02-13T16:00Z 11K followers, [---] engagements

"📣 Join top experts researchers and #opensource contributors across the data and AI community will speak at #DataAISummit June 26-29 - Register today: Save $400 off the regular price of the full conference pass using code ETLINUX400 (expires 6/2). https://dbricks.co/3lvO1hz https://dbricks.co/3lvO1hz"
X Link 2023-04-26T16:34Z 10.9K followers, [---] engagements

"Join thousands of data leaders engineers scientists and analysts to explore all things data analytics & AI at #DataAISummit in San Francisco 🌟 Save $400 off the regular price of the full conference pass using code ETLINUX400 (expires 6/2). #mlflow https://www.databricks.com/dataaisummit/ https://www.databricks.com/dataaisummit/"
X Link 2023-05-15T20:15Z 10.9K followers, [---] engagements

"🌹 Roses are red Violets are blue Want to save $400 off your full conference pass to #DataAISummit Then this code is for YOU 😎 🌟 Save $400 off the regular price of the full conference pass using code ETLINUX400 (expires 6/2). #opensource #mlflow https://dbricks.co/3Txlsgh https://dbricks.co/3Txlsgh"
X Link 2023-05-17T16:14Z 10.9K followers, [----] engagements

"MLflow [---] is here 🚀 MLflow [---] provides a comprehensive set of LLMOps tools for model evaluation. ✅ View the release notes: #mlflow #mlops #machinelearning #llms #llmops https://lnkd.in/e-iStS-j https://lnkd.in/e-iStS-j"
X Link 2023-06-08T13:13Z 10.9K followers, [----] engagements

"In this session learn how #MLflow can help you: - Easily grab #opensource models from @huggingface and use Transformers pipelines in MLflow - Integrate @LangChainAI for more advanced services and add context into your model pipelines - & so much more👇 https://www.youtube.com/watchv=WpudXKAZQNI https://www.youtube.com/watchv=WpudXKAZQNI"
X Link 2023-08-23T16:06Z 10.9K followers, [----] engagements

"Did you hear the news @gitlab now integrates with #MLflow 🙌 Organizations can track the many versions of their ML models within the GitLab user interface using the #opensource MLFlow. Link to documentation: #oss #linuxfoundation #mlops #gitlab https://docs.gitlab.com/ee/user/project/ml/experiment_tracking/#machine-learning-model-experiments https://docs.gitlab.com/ee/user/project/ml/experiment_tracking/#machine-learning-model-experiments"
X Link 2023-08-29T15:07Z 10.9K followers, [----] engagements

"Juggling multiple OpenAI Anthropic and Cohere API keys and various #OSS models #MLflow AI Gateway offers centralized secure management and common model interfaces. 🦜🔗AI Gateway has a @LangChainAI integration - you can use models from the MLflow AI Gateway in your LLM chains"
X Link 2023-09-06T18:43Z 10.9K followers, [----] engagements

"Evaluating LLMs performance is slightly different from traditional #ML models as very often there is no single ground truth to compare against. #MLflow provides an API.()to help evaluate your #LLMs. LLM Evaluation Examples: https://mlflow.org/docs/latest/llms/llm-evaluate/notebooks/index.html https://mlflow.org/docs/latest/llms/llm-evaluate/notebooks/index.html"
X Link 2023-11-17T20:44Z 10.9K followers, [----] engagements

"#DataAISummit Call for Presentations is now open 📣 Share your expertise with the data analytics and AI community June 10-13 [----]. 🗓 The deadline for submissions is January [--] [----]. Apply to speak ➡ #opensource #mlflow #data https://bit.ly/3ujgf38 https://bit.ly/3ujgf38"
X Link 2023-11-22T16:20Z 10.9K followers, [---] engagements

"Learn how to leverage the advanced capabilities with semantic sentence embeddings within the Sentence Transformers package using #MLflow to simplify inference create custom deployable applications and more. MLflow Sentence-Transformers Flavor ➡ #oss https://mlflow.org/docs/latest/llms/sentence-transformers/index.html https://mlflow.org/docs/latest/llms/sentence-transformers/index.html"
X Link 2023-12-12T20:11Z 10.9K followers, [---] engagements

"We are happy to announce MLflow 2.10.0 🚀It introduces several significant new features that are preparing the way for current & future enhanced support for #DeepLearning use cases new features to support a broadened support for GenAI applications & https://mlflow.org/releases/2024/01/26/2.10.0-release https://mlflow.org/releases/2024/01/26/2.10.0-release"
X Link 2024-01-26T23:54Z 10.9K followers, 15.5K engagements

"We are excited to announce the release of MLflow 2.11.0 🚀 MLflow 2.11.0 brings a series of large and impactful features that span both #GenAI and #DeepLearning use cases. Learn more: #opensource #oss #linuxfoundation #mlflow https://mlflow.org/releases/2.11.0 https://mlflow.org/releases/2.11.0"
X Link 2024-03-04T17:20Z 10.9K followers, [----] engagements

"Unlock the power of RAG 🚀 These tutorials are designed to help you get started with RAG evaluation and walk you through a concrete example of how to evaluate a #RAG application that answers questions about #MLflow documentation. 🔗 Get started: #oss https://mlflow.org/docs/latest/llms/rag/notebooks/index.html https://mlflow.org/docs/latest/llms/rag/notebooks/index.html"
X Link 2024-03-12T21:15Z 10.9K followers, [----] engagements

"In this @mlopscommunity episode MosaicML's @davisblalock and @bandish share war stories and lessons learned from pushing the limits of #LLM training and helping dozens of customers get LLMs into production. 🤝 👀 Watch the full episode: #mlops #llms https://home.mlops.community/public/videos/the-art-and-science-of-training-llms https://home.mlops.community/public/videos/the-art-and-science-of-training-llms"
X Link 2024-03-22T14:51Z 10.9K followers, [----] engagements

"Interested in learning how to streamline your #ML deliverables efficiently Join us for "From Naive to Advanced ML Pipelines with #MLflow on Thursday May 30th. 🚀 You will learn how to enhance your ML workflows from the ground up Register here ➡ #oss https://us06web.zoom.us/webinar/register/WN_becX4BzhQIyePVyFUxGEcg https://us06web.zoom.us/webinar/register/WN_becX4BzhQIyePVyFUxGEcg"
X Link 2024-05-02T20:29Z 10.9K followers, [----] engagements

"🚀 MLflow 2.15.0 is here and includes major features like native @llama_index integration for #GenAI apps @OpenAI tracing enhanced model validation custom metrics logging & full @Databricks SDK integration. 🥳 Check out the release notes 🔗 https://github.com/mlflow/mlflow/releases/tag/v2.15.0 https://github.com/mlflow/mlflow/releases/tag/v2.15.0"
X Link 2024-07-29T19:34Z 10.9K followers, 26.2K engagements

"MLflow 2.15.0's new LlamaIndex integration is great for AI engineers building GenAI apps Combining MLflow's experiment tracking capabilities with LlamaIndex's innovative custom data tools creates a powerful toolkit for anyone working with #LLMs. 🌐 🔗 https://mlflow.org/docs/latest/llms/llama-index/index.html MLflow is a unified platform to manage model development deployment and management. Now it comes in LlamaIndex flavor ➡ Tracking lets you manage your prompts LLMs retrievers tools config and more ➡ Model packages your LlamaIndex engine and all its dependencies into a"
X Link 2024-07-31T14:27Z 10.9K followers, [----] engagements

"MLflow tracking scales with your project. Three key setups: 💻 Localhost: Quick start for solo work 🗃 Local DB: Cleaner data management 🌐 Remote Server: Secure team collaboration Learn more: #MLOps #MachineLearning https://mlflow.org/docs/latest/tracking.html#common-setups https://mlflow.org/docs/latest/tracking.html#common-setups"
X Link 2024-09-25T15:49Z 10.9K followers, [---] engagements

"MLflow for GenAI developmentMLflow makes working with LLMs and other GenAI tools easier with: 🔧 Custom GenAI model logging 📊 LLM and compound system evaluation 🔗integration with popular GenAI libraries like LlamaIndex and Langchain Learn more: https://mlflow.org/docs/latest/llms/index.html https://mlflow.org/docs/latest/llms/index.html"
X Link 2024-10-02T19:52Z 10.9K followers, [---] engagements

"MLflow [----] enhances ChatModel improves GenAI evaluation and adds audio support among other updates 📊 Improved Tracing UI 📈 Callable GenAI metrics 🔗 LlamaIndex & LangChain enhancements Release notes: https://mlflow.org/releases#2170-2024-10-11 https://mlflow.org/releases#2170-2024-10-11"
X Link 2024-10-14T16:15Z 10.9K followers, [----] engagements

"LlamaIndex + MLflow: Build and track complex LLM pipelines. Our new guide shows how to use @llama_index workflows with MLflow to build better RAG systems with: 🔍 Hybrid retrieval 📊 Experiment tracking 📈 Quality evaluation 🔬 MLflow Tracing https://mlflow.org/blog/mlflow-llama-index-workflow https://mlflow.org/blog/mlflow-llama-index-workflow"
X Link 2024-10-25T17:16Z 10.9K followers, [----] engagements

"MLflow [----] is here The release includes: 🧵 Thread/process-safe fluent APIs 🔗 DSPy integration 🖥 Enhanced trace UI 📊 New tracing integrations ⚖ Expanded LLM evaluation Read the full release notes: #MLflow #AI #MLOps https://mlflow.org/releases#2180-2024-11-18 https://mlflow.org/releases#2180-2024-11-18"
X Link 2024-11-18T16:28Z 10.9K followers, [----] engagements

"MLflow [----] adds support for DSPy helping you build better LLM apps that learn from examples. 📊 Automatic prompt/completion logging 📦 Easy deployment packaging 🔍 Built-in GenAI evaluation Docs & quickstart: #MLflow #LLMOps #AI https://mlflow.org/docs/latest/llms/dspy/index.html https://mlflow.org/docs/latest/llms/dspy/index.html"
X Link 2024-11-22T13:24Z 10.9K followers, [----] engagements

"MLflow [----] is out 🚀 Featuring expanded tracing support for CrewAI and Anthropic true streaming in ChatModel and automatic tracing during evaluation runs. Plus AnyType support for complex data structures. #MLflow #AI #MLOps #LLMOps"
X Link 2024-12-11T15:14Z 10.9K followers, [---] engagements

"Join us for MLflow Office Hours - Feb [--] 8AM PST/11AM EST Bring questions & connect directly with MLflow maintainers. From model serving to LLM integrations we'll help to answer questions on any MLflow challenges. Register: #MLflow #MLOps #AI https://lu.ma/47l5tlk3 https://lu.ma/47l5tlk3"
X Link 2025-02-12T16:01Z [----] followers, [---] engagements

"Applications are open for the [----] MLflow Ambassador Program Join our community of AI/ML leaders who: ✍ Share technical expertise 🔗 Connect with MLflow's core team 🚀 Build personal brand in MLOps/AI 🎯 Lead local tech communities See below for details 👇"
X Link 2025-02-24T15:27Z 10.9K followers, [----] engagements

"Interested in joining the MLflow ambassador program 📝 Apply here: 📚 Read here for more details: #mlflow #ai #mlops #machinelearning #llmops https://mlflow.org/ambassador https://forms.gle/foW9ZtietYLLYCp99 https://mlflow.org/ambassador https://forms.gle/foW9ZtietYLLYCp99"
X Link 2025-02-24T15:27Z [----] followers, [---] engagements

"MLflow's open source tracing capabilities now power LangFuse observability for DSPy applications creating a seamless path for developers to monitor their #LLM applications. ✅ LangFuse leverages MLflow's OpenTelemetry-compatible tracing system to provide observability for DSPy the framework for algorithmic optimization of LM prompts. This integration showcases how MLflow's flexible architecture enables ecosystem interoperability without requiring explicit partnerships. What makes this possible: 📊 MLflow tracing exports standard OpenTelemetry-compatible traces 🔄 Our sophisticated tracing"
X Link 2025-03-04T19:37Z 10.9K followers, [----] engagements

"Exciting newsMLflow 2.21.0 is live 🎉This release includes significant features enhancements and bug fixes to improve documentation GenAI prompt management tracing & more. Heres whats new in MLflow 2.21.0: 📚 Documentation Redesign:MLflow documentationis fully revamped with a new MDX-based website that provides better navigation and makes it easier to find the information you need 🤖 Prompt Registry:MLflow Prompt Registryis a powerful tool that streamlines prompt engineering and management in your GenAI applications. It enables you to version track and reuse prompts across your organization."
X Link 2025-03-14T17:53Z 10.9K followers, [----] engagements

"🚀 Passionate about AI/ML Ready to lead in the MLOps space The MLflow Ambassador Program is your opportunity to be at the forefront of AI/ML innovation This program is designed for those who want to: ✅ Engage with MLflows core team and get early insights ✅ Share expertise through talks blogs and workshops ✅ Organize meetups and build AI/ML communities ✅ Expand their influence in the MLOps ecosystem 📖 Learn more & apply today #opensource #oss #mlflow #mlops https://mlflow.org/ambassador https://mlflow.org/ambassador"
X Link 2025-03-17T23:15Z 10.9K followers, [---] engagements

"✨ On March 8th the MLflow team at @databricks had the opportunity to join one of Japans largest community meetups for @kaggle the worlds most popular data science and machine learning competition platform. 🏆 Whats Kaggle Kaggle is a global hub for data scientists and ML engineers to solve real-world problems through machine learning from beginners all the way to Grandmasters. Its a space where experimentation competition and learning come together. Hosted by the Kansai Kaggler community the event brought together over [---] data enthusiasts in person (on a weekday) to share ideas tools and"
X Link 2025-03-24T13:08Z 10.9K followers, [----] engagements

"MLflow now supports tracking for DSPy (Community) optimization workflows just like it does for @PyTorch training 🙌 DSPy (Community) makes it easy to automatically optimize your #LLM prompts using powerful optimizers. And now MLflow is the first and only framework that brings visibility and observability into that optimization process. Whether youre tuning a prompt or training a model MLflow helps you understand whats happening under the hood so you can iterate faster and build better. ✅ 🚀 Check out this blog to get started today ➡ MLflow documentation ➡ #mlflow #dspy #opensource #oss"
X Link 2025-04-21T19:01Z 10.9K followers, [----] engagements

"Unlock the next level of #GenAI development at #DataAISummit 🚀 Dont miss Chen Qians lightning talk on how #MLflow and #DSPy together can transform the way you build track and deploy #GenAI applications. Learn how to: 🔹 Automatically track @DSPyOSS modules evaluations and optimizers with MLflow autologging 🔹 Achieve full observability into GenAI workflows using MLflows tracking and tracing for DSPy 🔹 Debug iterate and deploy DSPy applications end-to-end with MLflows integrated MLOps tools Dont miss this opportunity at the worlds largest data analytics and AI conference - Data+AI Summit San"
X Link 2025-05-07T17:25Z 10.9K followers, [----] engagements

"Curious about how to systematically evaluate and improve the trustworthiness of your LLM applications 🤔 Check out how @CleanlabAI's Trustworthy Language Models (TLM) integrates with #MLflow TLM analyzes both prompts and responses to flag potentially untrustworthy outputs-no ground truth labels required. ✅ By combining #TLM with MLflow's tracing and evaluation capabilities you can automatically log track and analyze trustworthiness scores for every #LLM interaction. This workflow makes it easy to spot hallucinations and debug your AI applications at scale. Ready to make your LLMs more"
X Link 2025-05-15T17:55Z 10.9K followers, [----] engagements

"Have you heard the news MLflow now supports tracking for @DSPyOSS optimization workflowsjust like it does for #PyTorch training With DSPy you can automatically optimize your #LLM prompts using powerful optimizers and now #MLflow is the first and only framework to bring full visibility and observability to that process. ✅ Whether youre tuning prompts or training models MLflow helps you see whats happening under the hood so you can iterate faster and build better. 🚀 Get started today: 🔗 MLflow documentation: Want to learn more❓ Dont miss Chen Qians @Data_AI_Summit (June 9-12) session"
X Link 2025-05-30T14:18Z 10.9K followers, 10K engagements

"📣 After months of collaboration across the open source community were thrilled to announce the release of . 🎉 : GenAI has changed the game introducing complex execution flows subjective output quality and new challenges for observability and evaluation. MLflow [---] meets these challenges head-on expanding the platform trusted by millions for ML operations into a unified solution for all AI workloads. Key highlights of MLflow 3.0: 🌟 Instantly capture complex GenAI execution flowsincluding every LLM call vector retrieval document ranking and prompt orchestration. MLflow Tracing provides a"
X Link 2025-06-11T18:31Z 10.9K followers, 13.3K engagements

"Have You Heard the News MLflow [--] is Here 🎉 is now available to everyone marking the biggest evolution in open-source MLOps history and transforming how millions of developers build deploy and monitor AI applications. While earlier versions focused on traditional ML workflows MLflow [--] reimagines the platform for the GenAI era. Heres whats new: 🎯 MLflow [--] introduces a versioning system purpose-built for GenAI applicationsnot just model artifacts. The newentity links each app version to its code configurations traces and evaluation runs supporting both GenAI and classic ML models. 🔗 &"
X Link 2025-06-16T16:03Z 10.9K followers, [---] engagements

"MLflow Tracingis a powerful feature designed to enhance #LLM observability in your #GenAI applications by capturing detailed information about the execution of your application's services. 🙌 With Tracing you can record the inputs outputs and metadata for every intermediate step of a request making it easier than ever to pinpoint the source of bugs and unexpected behaviors. 🌟 Key Benefits ✅ :Instantly gain observability with just a single line of code thanks to seamless integrations with 20+ GenAI libraries. ✅ :For any Python-based GenAI code or custom components MLflow's flexible"
X Link 2025-06-17T19:25Z 10.9K followers, [----] engagements

"Struggling to keep your ML models organized and production-ready The MLflow Model Registry provides centralized model versioning stage management and model lineage trackingbridging the gap between experimentation and production. With a centralized UI and API you can: 🔹 Register and version models with a single click or API call. 🔹 Assign custom stages to each model version for clear lifecycle management. 🔹 Annotate tag and document every model for full transparency. 🔹 Integrate with CI/CD pipelines for automated stage transitions and approvals. 🔗 This quickstart gets you productive with"
X Link 2025-06-23T15:47Z 10.9K followers, [----] engagements

"In this clip from Data+AI Summit Chen Qian talks about the release of DSPy [--] which brings production-ready capabilities seamless #MLflow integration streaming and async support and advanced optimizers like Simba. Chen also explains how DSPy [--] streamlines prompt engineering and how MLflow and @DSPyOSS now work together for automated prompt optimization deployment and comprehensive tracing. With MLflow tracing developers gain full transparency into agent reasoning making debugging and iteration easier than ever. Learn more about DSPy & MLflow ➡ #opensource #oss #dspy #linuxfoundation"
X Link 2025-06-25T15:07Z 10.9K followers, [----] engagements

"🚀 Transform Your GenAI Applications with MLflow's Prompt Optimization Building #GenAI applications shouldn't feel like shooting in the dark. With MLflow's new prompt optimization capabilities you can now transform prompt engineering from an art into a science. 🔄 Automated Improvement: Leverage @DSPyOSS's MIPROv2 algorithm to automatically enhance your prompts 📊 Data-Driven Decisions: No more manual testing. Get a systematic evaluation with real data and evaluation metrics 🏗 Production-Ready: MLflow Prompt Registry has built-in version control lineage tracking and @unitycatalog_io"
X Link 2025-07-01T14:38Z 10.9K followers, [----] engagements

"MLflow [--] isnt just for GenAIthis release brings big upgrades for traditional ML and deep learning teams too: 🔗 : Unified versioning deployment and improved lineage tracking for all model typesincluding deep learning with better checkpoint management. 📊 : Standardize evaluation with custom metrics for computer vision NLP and tabular modelsnow all in one framework. 🚀 : Automated quality gates and testing for any MLflow model from scikit-learn classifiers to multi-modal foundation models. MLflow 3: One platform for all your AI workflows. 📚 Learn more: 🔗 View the release notes: #MLflow"
X Link 2025-07-02T15:06Z 10.9K followers, [---] engagements

"Dont forget MLflow Office Hours are this Wednesday October [--] at 8AM PT on Zoom Join the MLflow maintainers and contributors for a live interactive session. Whether youre debugging production issues or experimenting with LLMs and GenAI this is your chance to ask questions directly and get expert feedback. Come for: 🔹 Real-time MLflow troubleshooting and guidance 🔹 Best practices for managing LLM & GenAI experiments 🔹 A look ahead at new MLflow features 🔗 Reserve your #opensource #oss #mlflow #genai #llm https://luma.com/officehours1022 https://luma.com/officehours1022"
X Link 2025-10-20T15:10Z 10.6K followers, [---] engagements

"Join #MLflow at the upcoming Terminal Bench Meetup at @Databricks HQ on November [--] 🎉 Learn how to build high-quality agents faster with MLflow from Danny Chiao and discover the new exciting features from Terminal Bench [---]. 👏 Plus enjoy food drinks and great conversations with the community. 🗓 Thursday Nov [--] 🕕 6:008:00 PM PST 📍 Databricks San Francisco 🔗 Secure your spot: #AIagents #OpenSource https://luma.com/h9kb99vd https://luma.com/h9kb99vd"
X Link 2025-10-24T14:40Z 10.7K followers, [---] engagements

"Have you heard of GEPA 🔥 GEPA has quickly become one of the most popular prompt optimization techniques in AIand through our collaboration with @DSPyOSS #MLflow now makes it easier than ever to apply GEPA to your agents. MLflow brings GEPA to where your traces and eval datasets already liveno code change needed. We tested it on @OpenAI Agents with the HotpotQA dataset and saw a 14% accuracy boost in just [--] minutes 🚀 📖 Read the full guide: #opensource #oss #ai #GEPA #DSPy #PromptOptimization https://mlflow.org/blog/mlflow-prompt-optimization#GEPA"
X Link 2025-10-28T13:24Z 10.8K followers, 12.7K engagements

"Evaluating GenAI models isnt just about accuracycost time and detailed key-level metrics matter too. 🚀 In this video #MLflow Ambassador Shrinath Suresh shows how to go beyond accuracy and capture richer evaluation metrics. By the end youll have a richer evaluation pipeline to compare multiple models and reasoning levels in one place. ✅ 🎥 Watch the video here: #opensource #oss #genai #openai #llm https://youtu.be/lEVCDYmLvhQ https://youtu.be/lEVCDYmLvhQ"
X Link 2025-10-28T13:56Z 10.8K followers, [---] engagements

"Two weeks from today dont miss it 🙌 📣 Join the next on November [--] to explore the latest in AI observability and agent tracing. Featuring two exciting talks: 🔹 & (Samraj Moorjani) 🔹 () (Yuki Watanabe) 🔗 Set a reminder add it to your calendar and bring your questions for live Q&A #MLflow #opensource #AI #GenAI #MLOps https://luma.com/mlflowmeetup-1112 https://luma.com/mlflowmeetup-1112"
X Link 2025-10-29T15:46Z 10.8K followers, [---] engagements

"Only a few days left until the at@databricks HQ 🚀 📣 Join the#MLflowcommunity this Thursday for an evening of demos discussions and new announcements from Terminal Bench [---]. Hear fromDanny Chiaoon building high-quality agents faster with MLflowplus enjoy good food drinks and great company. 🗓 Thursday Nov [--] 🕕 6:008:00 PM PST 📍 Databricks San Francisco Seats are filling up fastgrab yours now 👉 #TerminalBench #AIagents #OpenSource #OSS #SanFrancisco https://luma.com/h9kb99vd https://luma.com/h9kb99vd"
X Link 2025-11-01T18:56Z 10.8K followers, [----] engagements

"Building agents doesnt have to take weeks. Prototype a productionready agent with the Claude Agent SDK and add observability and evaluation with MLflowgo from idea to measurable results in hours. 🚀 See how autotracing captures inputs outputs and metadata and how MLflow evaluations surface regressions and improvements on a real travelagent example. Read the full blog #opensource #oss #mlflow #genai #claudeagents https://mlflow.org/blog/mlflow-autolog-claude-agents-sdk https://mlflow.org/blog/mlflow-autolog-claude-agents-sdk"
X Link 2025-11-06T21:10Z 10.8K followers, [---] engagements

"Full room great energy and tons of practical insights at yesterdays Terminal-Bench [---] meetup in SF 🙌 Danny Chiao (Engineering Lead @Databricks) provided a handson tour of building highquality agents faster with MLflow and Alex Shaw (Member of Technical Staff @LaudeInstitute) and Mike Merrill (Postdoc @Stanford) discussed advancing open reproducible agent benchmarking with TerminalBench [---]. Thanks to everyone who came outthis community keeps raising the bar for reliable measurable AI systems.🚀 #opensource #oss #mlflow #meetup #sanfrancisco #AIagents"
X Link 2025-11-07T14:50Z 10.8K followers, [---] engagements

"MLflow 3.6.0 just landed. Thanks to MLflow maintainers and the community. 🔗 Check it out: Big rocks include: 👉 Full OpenTelemetry Support in MLflow Tracking Server 👉 Session-level View in Trace UI 👉 New Supported Frameworks in TypeScript Tracing SDK 👉 Tracking Judge Cost and Traces 👉 New experiment tab bar Try it out: pip install mlflow. Let us know https://mlflow.org/releases https://mlflow.org/releases https://mlflow.org/releases https://mlflow.org/releases"
X Link 2025-11-10T19:31Z 10.8K followers, [----] engagements

"MLflows optimize_prompts() API automatically refines prompts using your evaluation metrics and training data boosting performance and consistency while reducing manual tuning. 🚀 This experimental feature streamlines prompt enhancement across agent frameworks with optimization algorithms you can measure. In this video MLflow Ambassador Shrinath Suresh shows how prompt optimization upgrades generative AI workflows end to end. 🎥 Dive in: #opensource #oss #mlflow #genai #generativeai https://youtu.be/3pGlzGa6VjE https://youtu.be/3pGlzGa6VjE"
X Link 2025-11-11T13:13Z 10.8K followers, [---] engagements

"Join us for the next on Wednesday November [--] at 3PM SGT for 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 direct technical feedback from the team behind the project. These sessions are designed for developers of all levels. Bring your questions and lets talk MLflow. 🚀 🔗 Register: #opensource #MLflow #oss #genai #LLM https://luma.com/mlflow1119 https://luma.com/mlflow1119"
X Link 2025-11-11T21:44Z 10.8K followers, [---] engagements

"MLflow Community Meetup November [--] [----] https://x.com/i/broadcasts/1YqGolWoqRAJv https://x.com/i/broadcasts/1YqGolWoqRAJv"
X Link 2025-11-13T00:00Z 10.8K followers, [---] engagements

"Samraj wrote an excellent blog on the Claude Agent SDK and MLflow Give it a read on the MLflow blog. 🔗 Dive in: https://mlflow.org/blog/mlflow-autolog-claude-agents-sdk https://mlflow.org/blog/mlflow-autolog-claude-agents-sdk"
X Link 2025-11-13T00:24Z 10.8K followers, [---] engagements

"🌟 Star the MLflow GitHub repo: https://github.com/mlflow/mlflow/tree/master https://github.com/mlflow/mlflow/tree/master"
X Link 2025-11-13T00:53Z 10.8K followers, [--] engagements

"🔗 Visit MLflow OpenTelemetry documentation: https://mlflow.org/docs/latest/genai/tracing/opentelemetry/ https://mlflow.org/docs/latest/genai/tracing/opentelemetry/"
X Link 2025-11-13T00:53Z 10.8K followers, [---] engagements

"MLflow 3.6.0 now supports @OpenTelemetry end-to-end 🚀 Combine traces from Python Java Go Rust & frameworks like FastAPI Django OpenAI LangChain DSPyall unified in MLflow for full observability. Get vendor neutrality broad ecosystem compatibility and unified observability from incoming requests to LLM calls and resultsall in a single trace. 🤝 🔗 Check out the full blog for more: #opensource #oss #mlflow #opentelemetry #tracing #llm #genai http://mlflow.org/blog/opentelemetry-tracing-support http://mlflow.org/blog/opentelemetry-tracing-support"
X Link 2025-11-14T16:02Z 10.8K followers, [----] engagements

"🚀 Help shape the future and frontier of open source MLflow Were running a short survey to learn how you use MLflow for GenAI Ops agent evals and observability. 🧠 Every response helps us raise the bar for agent quality and open innovation. 🎁 A random 25% of participants will receive exclusive MLflow swag 🗓 Closes Jan [--] [----] 👉 Your feedback = better agents better MLflow. 🙏 #MLflow #OpenSource #GenAI https://tinyurl.com/mlflow-micro-survey25 https://tinyurl.com/mlflow-micro-survey25"
X Link 2025-11-17T15:01Z 10.8K followers, [----] engagements

"Applications are open for the next open source MLflow Ambassador cohortapply by December [--] 🚀 As an Ambassador youll educate your community lead events and publish technical content that helps practitioners adopt open source MLflow across ML and GenAI workflowsspanning evaluation LLM/agent tracing and prompt lifecycle management. 👉 What youll do: speak or host meetups publish tutorials and videos and be a trusted resource on MLflows GenAI capabilities (evaluations tracing prompt management). 👉 Who should apply: active open source contributors bloggers speakers and organizers driving real"
X Link 2025-11-20T17:05Z 10.8K followers, [---] engagements

"Developers are shifting gears from single models to full autonomous systems Ready to master the next era of AI 🚀 Join us as we deep-dive into two critical pillars powering this transition: ✨ MLflow GenAI: Essential for evaluation monitoring and quality observability of your generative AI and agent applications. 🌐 NANDA: Providing the framework for decentralized coordination identity resolution and open-source agent infrastructure. RSVP now 👉 #MLflow #GenAI #AutonomousAgents #AIEvaluation #OpenSource #AIOps #Nanda https://luma.com/kt7mj2t6 https://luma.com/kt7mj2t6"
X Link 2025-11-25T14:43Z 10.8K followers, [----] engagements

"At the TerminalBench [---] meetup in SF Danny Chiao (Engineering Lead @Databricks) shared how to improve AI agent quality faster with MLflowcovering tracing evaluation with human feedback & LLM judges and production monitoring. 🚀 Missed it 🎥 Watch here: #opensource #oss #agents #mlflow http://youtu.be/Ggxc82UOyrU http://youtu.be/Ggxc82UOyrU"
X Link 2025-11-26T12:51Z 10.8K followers, [---] engagements

"Only a few days left to apply for the next MLflow Ambassador cohort 🚀 Join a global group of leaders advancing open source MLflow and helping teams ship high-quality GenAI with evaluation tracing and prompt management. Submit your application by . 🔗 Apply today: 🔹 : open source contributors speakers and organizers with a track record in MLOps/AI. 🔹 : amplify your impact and shape GenAI practice in your community with MLflows evolving toolkitspanning evaluation LLM/agent tracing and prompt lifecycle management. #MLflow #opensource #oss #ambassador #genai"
X Link 2025-11-28T21:21Z 10.8K followers, [---] engagements

"Missed our latest #MLflow Community Meetup The full recording is available on the MLflow YouTube channel. 🎥 This session covers: 🔹 & 🔹 Watch the full session 👉 #opensource #oss #mlflow #genai #opentelemetry https://www.youtube.com/watchv=Y4we1zI916o https://www.youtube.com/watchv=Y4we1zI916o"
X Link 2025-11-29T15:59Z 10.8K followers, [---] engagements

"Developers are shifting gears from single models to full autonomous systems Ready to master the next era of AI 🚀 Join us on as we deep-dive into two critical pillars powering this transition: 🔹 : Essential for evaluation monitoring and quality observability of your generative AI and agent applications. 🔹 : Providing the framework for decentralized coordination identity resolution and open-source agent infrastructure. RSVP 👉 #MLflow #GenAI #AIEvaluation #OpenSource #AIOps #Nanda https://luma.com/kt7mj2t6 https://luma.com/kt7mj2t6"
X Link 2025-12-01T13:42Z 10.8K followers, [----] engagements

"This program is packed with real-world examples and live demonstrations open discussions and practical takeaways. 🙌 Whether you're just experimenting with agent frameworks or planning your next agent-powered application you won't want to miss it 🔗 Learn more: #oss #opensource #genai https://luma.com/kt7mj2t6 https://luma.com/kt7mj2t6"
X Link 2025-12-01T13:42Z 10.8K followers, [---] engagements

"Is your GenAI agent production-ready or just passing "vibe checks" 🤔 Building is easy. Quality is hard. Samraj Moorjani (@Databricks) breaks down the full MLflow Quality stack: 🔍 Tracing (@opentelemetry) 🤖 AI-based Debugging (AI Insights) ⚖ LLM as a Judge Watch the deep dive: #AIEngineering #OpenTelemetry #MLflow #GenAI #Agents #LLM https://www.youtube.com/watchv=J92rI0IUmAI https://www.youtube.com/watchv=J92rI0IUmAI"
X Link 2025-12-02T15:47Z 10.8K followers, [---] engagements

"🚀 : Why log GenAI models as code It's essential for ensuring versioning and reproducibility of API-based models providing clear traceability for the model's logic and dependencies. In this video with @shrinathsuresh MLflow Ambassador learn how to log GenAI models as code directly from Python into MLflow Tracking. 🎥 : #opensource #oss #mlflow #genai #mlops https://youtu.be/jXzHQ8ZLdMU https://youtu.be/jXzHQ8ZLdMU"
X Link 2025-12-03T14:49Z 10.8K followers, [---] engagements

"Last month in Copenhagen MLflow Ambassador Thor Steen Larsen presented "How to use MLflow for Experiment Tracking and Deployment and how we use it in @omDSB. His talk showcased how DSB achieves reproducible MLOps covering infrastructure evaluation and deployment options. 🚀 Ready to try it MLflow Tracking Quickstart ➡ #MLflow #experimenttracking #mlops #opensource https://mlflow.org/docs/latest/ml/tracking/quickstart/ https://mlflow.org/docs/latest/ml/tracking/quickstart/"
X Link 2025-12-05T18:31Z 10.8K followers, [---] engagements

"MLflow 3.7.0 is here and it brings major features and improvements for GenAI Observability Evaluation and Prompt Management 🙌🥳 🔗 View the release notes: ⚗ : Manage and search prompts (including version search in traces) directly within the experiment UI. 💬 - : Enhanced mlflow.genai.evaluate now supports assessing conversational AI applications with multi-turn inputs. ⚖ : New side-by-side view in the Traces UI to analyze and debug LLM behavior across runs. ♊ : Added auto-tracing support for Googles Gemini in TypeScript. 🎯 : The make_judge API now supports precise programmatically"
X Link 2025-12-08T15:23Z 10.8K followers, [----] engagements

"Stop the AI Agent "vibe checks" & manual labeling 🛑🛠 Samraj Moorjani (@databricks) shows how #MLflow accelerates high-quality production-ready agent development. Learn the techniques leading companies use to skip the iteration loop. 🚀 📽 Watch the full session: #MLflow #AIAgents #AIDev #GenAI #OpenSource https://www.youtube.com/watchv=qOFKpHEm2zg https://www.youtube.com/watchv=qOFKpHEm2zg"
X Link 2025-12-09T16:05Z 10.8K followers, [---] engagements

"🎥 How to Test GenAI Agents in Production: MLflow Tracing & Evaluation Deep Dive The hardest problem in GenAI Moving from "vibe checks" to production-grade quality. Samraj Moorjani joined Lara Rachidi and Maria Zervou to break down the MLflow playbook for building reliable governable agents. Key features covered: 🔹 : Automated trace analysis 🔹 : Scalable evaluation alignment 🔹 : SQL alerts via Unity Catalog Stop deploying GenAI agents based on "vibe checks." Trust is the only metric that matters in production 🎥 Full deep dive here: #GenAI #MLflow #AgentQuality #MLOps"
X Link 2025-12-19T14:51Z 10.8K followers, [---] engagements

"Were excited to announce the release of . which brings advanced capabilities for evaluating LLM-based applications particularly for evaluation and observation. 🚀 Whats New in MLflow 3.8.0 ⚙ : Prompts can now include model configuration allowing you to associate specific model settings with prompt templates for more reproducible LLM workflows. - : The Traces UI now supports displaying spans from in-progress traces with auto-polling enabling real-time debugging and monitoring of long-running LLM applications. ⚖ : New get_judge API enables using DeepEval's evaluation metrics as MLflow"
X Link 2025-12-22T16:11Z 10.9K followers, [----] engagements

"The last six months of [----] have been a defining era for MLflow. 🚀 With the launch of MLflow [--] weve moved beyond traditional model and experiment tracking and MLOps to build a unified platform for building high-quality AI Agents and ML models. The mission for [----] Provide organizations with an open platform to build and ship high-quality GenAI applications fast. Check out the full retrospective #AIOps #LLM #OpenSource #MLflow #GenAI https://www.linkedin.com/pulse/celebration-innovation-retrospective-mlflow-communitys-last-d1qdf"
X Link 2026-01-05T18:46Z 10.9K followers, [---] engagements

"Key Achievements: 🌟 [--] releases focused on LLM Agentic observability evaluation and scalability. 🌟 New features added including GenAI observability unified tracing and enhanced GenAI evaluation with a suite of built-in scorers and third-party metric integrations. 🌟 Community Growth: Now supported by [--] Ambassadors across [--] countries. #opensource #mlflow #oss #genai https://twitter.com/i/web/status/2008248955772219773 https://twitter.com/i/web/status/2008248955772219773"
X Link 2026-01-05T18:47Z 10.9K followers, [---] engagements

"🚀 TypeScript and JavaScript continue to dominate full-stack AI development and MLflow [---] doubles down on that reality. In addition to the OpenAI SDK hooks we now ship automatic tracing integrations forVercel AI SDKLangChain.jsLangGraph.jsMastraAnthropic andGemini. 🙌 Learn how to get traces from modern JS stacks into the same MLflow experiment UI as your Python servicescomplete with prompt/response payloads token usage tool results and error metadata. Whether you're using Next.js or building agentic flows with LangGraph this guide shows you how to capture the full hierarchy of your AI"
X Link 2026-01-06T18:59Z 10.9K followers, [---] engagements

"Weve officially released the on GitHub and were inviting the community to help us prioritize whats next.🙌 As we evolve into the leading platform for we are focusing on four key pillars: 🕵:Enhanced observability cost tracking and debugging for complex agents. 📊 :Multi-turn conversation support and built-in judges for tool-calling. 📝 :Linking prompt versions directly to traces and experiments. ⚙ :Better performance via database backends and "safety-by-default" security. .Head over to GitHub to upvote your favorite features comment on roadmap items or claim an issue to contribute & 👉"
X Link 2026-01-09T18:09Z 10.9K followers, [----] engagements

"The last six months of [----] have marked a transformative era for MLflow with a total of 🚀 The MLflow 3.x releases have delivered a wealth of features focused on making GenAI and MLOps more observable and scalable. 🔹 ( . ) 🔹 🔹 👇 Dive into the full 6-month retrospective: #opensource #mlflow #oss #genai #mlops https://www.linkedin.com/pulse/celebration-innovation-retrospective-mlflow-communitys-last-d1qdf/trackingId=Ajo8fRs%2BTPmw44xaPeMD0g%3D%3D https://www.linkedin.com/pulse/celebration-innovation-retrospective-mlflow-communitys-last-d1qdf/trackingId=Ajo8fRs%2BTPmw44xaPeMD0g%3D%3D"
X Link 2026-01-13T19:15Z 10.9K followers, [---] engagements

"MLflow isn't just for traditional data scientists anymore. If you're an AI engineer or agent developer building GenAI applications you should consider MLflow's GenAI Platform for your production systems. ⚙ In this episode Corey Zumar Jules Damji and Danny Chiao sit down with Demetrios Brinkmann to dismantle the myths holding teams back. They dive into: 🔹 : Why MLflow is being rebuilt for agents and real production systems. 🔹 : Tackling evals risky memory management and governance that actually works. 🔹 :Why MLflow remains the leading open-source standard for the next generation of AI.The"
X Link 2026-01-16T18:47Z 10.9K followers, [---] engagements

"📣 One week until we dive into . The MLflow [---] release is packed with new observability and evaluation features. Join the MLflow team for a deep dive into these tools and the specific problems they solve. Were covering: 🔹 MLflow Assistant 🔹Trace/Quality Dashboards 🔹 Online Scorers 🔹 Judge Building UI 🔹 MemAlign Optimizer Learn how to incorporate these features into your workflow to build high-quality production-ready agents. 🚀 🗓 Feb [--] 4PM PT 🔗 Register: #MLflow #GenAI #LLMOps #AIAgents #OpenSource https://luma.com/mlflow-204 https://luma.com/mlflow-204"
X Link 2026-01-28T16:52Z 11K followers, [---] engagements

"Have you heard the news .. is officially out 🚀 This major release focuses on AI Observability capabilities designed to streamline how you build monitor and optimize AI agents with tools such as an AI-powered assistant performance dashboards and automated judge evaluation. Whats new 🔹 🔹 🔹 🔹 🔹 🔹 Install MLflow 3.9.0 to try these new features: ==.. 👉 Read the full breakdown: #mlflow #opensource #oss #llmops #genai #aiobserverability https://mlflow.org/releases https://mlflow.org/releases"
X Link 2026-02-03T19:20Z 11K followers, [---] engagements

"🚀 Catch this session at #DataAISummit Learn how @petrobras leveraged #MLflow to transform their #MLOpsautomating model validation accelerating deployment from days to hours and achieving robust governance and reproducibility with @Databricks Asset Bundles and #UnityCatalog. ✅ This session dives into building scalable production-ready ML pipelines enabling data teams to innovate faster without getting bogged down by infrastructure. 🗓 June 9-12 📍 San Francisco 🔗 Secure your spot: P.S. MLflow community members get 50% off DAIS registration🎉 Want the codeComment belowand well send it your"
X Link 2025-05-20T13:41Z 11K followers, [---] engagements

"🔥 Deal extended Get 50% OFF your #DataAISummit ticket - now through Mon June [--] Join the global data & AI community in SF June [---] for the worlds largest conference on data analytics & AI. Dive into: 🔹700+ sessions (MLflow GenAI & more) 🔹Demos & real-world use cases 🔹New techniques for scaling models in production Reply "MLflow" for your exclusive discount code Dont wait - this is your final chance to save big ➡ #opensource #mlflow #dataaisummit https://www.databricks.com/dataaisummit https://twitter.com/i/web/status/1927060669108527401 https://www.databricks.com/dataaisummit"
X Link 2025-05-26T17:54Z 11K followers, [---] engagements

"Building agents is easy. Ensuring their quality in production is the real challenge. 🚀 Join us on for a technical deep dive into the MLflow [---] release With . we are introducing a suite of features specifically designed to enhance and ease agent development and production-grade quality. We'll explore: ✅ MLflow Claude Code Assistant ✅ MemAlign Optimizer for LLM Judges ✅ Trace Overview Dashboards ✅ Judge Builder UI 🔗 RSVP here: #opensource #genai #oss #mlflow https://luma.com/mlflow-204 https://luma.com/mlflow-204"
X Link 2026-01-21T19:37Z 11K followers, [---] engagements

"📣 : TypeScript and JavaScript continue to dominate full-stack AI development and MLflow [---] doubles down on that reality. In addition to the OpenAI SDK hooks we now ship automatic tracing integrations forVercel AI SDKLangChain.jsLangGraph.jsMastraAnthropic andGemini. 🙌 Learn how to get traces from modern JS stacks into the same MLflow experiment UI as your Python servicescomplete with prompt/response payloads token usage tool results and error metadata. Whether you're using Next.js or building agentic flows with LangGraph this guide shows you how to capture the full hierarchy of your"
X Link 2026-01-23T19:17Z 11K followers, [---] engagements

"Thanks for being here Where are you joining us from 🌐"
X Link 2026-02-05T00:02Z 11K followers, [---] engagements

"Like MLflow Give it a🌟 on https://github.com/mlflow/mlflow https://github.com/mlflow/mlflow"
X Link 2026-02-05T00:20Z 11K followers, [---] engagements

"📣 EXCITING NEWS: MLflow 3.9.0 is officially here Major new features include: 🔮 📈 ✨ 🔎 🔗 🤖 📚 - Check out the release notes for more 👉 🎥 Join us for an MLflow webinar (Feb 4) where we'll deep-dive into MLflow [---] features and showcase some of them. Register here ➡ #MLflow #GenAI #LLMOps #OpenSource https://luma.com/mlflow-204 https://github.com/mlflow/mlflow/releases/tag/v3.9.0 https://luma.com/mlflow-204 https://github.com/mlflow/mlflow/releases/tag/v3.9.0"
X Link 2026-01-29T17:41Z 11K followers, [----] engagements

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