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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 retweeted
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JFrog @jfrog

a day ago

🚨 New Integration: JFrog Artifactory now integrates w/ the #OSS platform, @MLflow! Store & manage your ML model experiments in a single source of truth, while ensuring the secure deployment of #MLModels into your production environments. Learn more: jfrog.co/44nYQEj

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MLflow @MLflow

4 days ago

🚀 Share your #MLflow feedback in this quick survey! We want to know your thoughts on some of the latest MLflow features and how you envision MLflow growing to meet your needs, especially with new #DeepLearning and #LLM features. Take survey ➡️ surveys.training.databricks.com/jfe/form/SV_3j… #oss

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MLflow @MLflow

2 weeks ago

Join @ankit_math and @dennylee as they dive into how DBRX was built! Learn about the open, high-quality #LLM at Open Source Summit North America in Seattle! The session will be on Thursday, April 18th, 11am-11:40am PST. See you there! 👋 sched.co/1bdIO #ossummit

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MLflow @MLflow

2 weeks ago

This Thursday, April 18th, the #Python User Group Belgium will hold its seventh meetup in Ghent! 🙌 At this meetup, Vitale Sparacello, #MLflow Ambassador and Tech Lead at @datarootsio, will present #MLOps Made Easy with #MLflow. RSVP ➡️ meetup.com/python-user-gr…

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MLflow @MLflow

2 weeks ago

One week to go! 🙌 Join us for the next MLflow Community Meetup. Explore the newest capabilities of MLflow, take a look back at the past several months at MLflow, and ask your #MLflow questions. 🗓 Wednesday, April 17 🕒 9AM PST / 12PM EST Register ➡ us06web.zoom.us/webinar/regist…

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MLflow @MLflow

2 weeks ago

On April 18 at Open Source Summit North America, @ankit_math and @dennylee will present Introducing DBRX: the SOTA for High-Quality LLMs! 🚀 Learn more about this open model and how it sets the new state-of-the-art standard for high-quality #LLMs. 🔗ossna2024.sched.com/event/1bdIO?if…

MLflow retweeted
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Matei Zaharia @matei_zaharia

3 weeks ago

We've added a lot of improvements for the deep learning training experience in @MLflow recently. Check out the latest from @_aiabe, the product lead for this area at Databricks. loom.com/share/443a398d…

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MLflow @MLflow

3 weeks ago

Join us for four days of deep learning around data, AI & LLM technologies at #DataAISummit, June 10-13, in San Francisco! 🚀 ✔ 500+ breakout sessions & keynotes ✔ 20+ Hands-on trainings ✔ Four days of food & beverage ✔ Networking events & parties databricks.com/dataaisummit?u…

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MLflow @MLflow

3 weeks ago

We've added support to both @PyTorch and @TensorFlow for automatic model weights checkpointing for the autologging implementations within both flavors! This feature allows you to automatically configure long-running #DeepLearning training runs. Learn more: hubs.ly/Q02qsFp60

MLflow retweeted
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Médéric Hurier (Fmind) @fmind_dev

a month ago

After countless nights of coding, I'm super excited to share my latest project: the MLOps Python Package v1.0.0 is now live on GitHub! 🚀 github.com/fmind/mlops-py… #MLOps #Python #AI #ML #opensource

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MLflow @MLflow

3 weeks ago

The call was made, and the community answered in droves! 🚀 We are thrilled to present our MLflow Ambassadors, a select group distinguished by their commitment to mentoring, teaching, & most importantly, building AI solutions. Meet the MLflow Ambassadors: mlflow.org/ambassador

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MLflow @MLflow

3 weeks ago

At #OSSummit, @ankit_math and @dennylee will present Introducing DBRX: the SOTA for High-Quality LLMs! ✅Get the behind-the-scenes story of #DBRX ✅Understand the benchmarks ✅Dive into DBRX’s MoE architecture ✅ & more! Learn more: ossna2024.sched.com/event/1bdIO?if… #genai #opensource

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MLflow @MLflow

3 weeks ago

You're invited to the virtual MLflow Community Meetup on April 17th! 🙌 Don’t miss out on this opportunity to engage with the MLflow community and gain valuable insights into enhancing your machine learning operations. 🗣 Register today! ➡ us06web.zoom.us/webinar/regist…

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MLflow @MLflow

3 weeks ago

📢 TOMORROW! Be the first to hop on the DBRX train and watch as it transforms your projects and workflows. Snag your spot at the @databricks Roundtable on April 4th. Don't miss out—register now and let's rock with DBRX. See you there!

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MLOps Community @mlopscommunity

3 weeks ago

📢 TOMORROW! Be the first to hop on the DBRX train and watch as it transforms your projects and workflows. Snag your spot at the @databricks Roundtable on April 4th. Don't miss out—register now and let's rock with DBRX. See you there!

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MLflow @MLflow

3 weeks ago

We've added compatibility support for the @OpenAI 1.x SDK! You'll now be able to utilize the 1.x family of the OpenAI SDK without having to point to deprecated legacy APIs. Learn more about the impactful features of MLflow 2.11.0 👉 hubs.la/Q02qsfCt0 #opensource #mlflow

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MLflow @MLflow

3 weeks ago

Learn how to build an @OpenAI-compatible chatbot using a local Transformers model and #MLflow, and serve it with minimal configuration. 🔗 Get started: mlflow.org/docs/latest/ll… #opensource #oss #openai

MLflow retweeted
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Databricks @databricks

4 weeks ago

Learn about #DBRX, a new general-purpose LLM, from the people who built it. @NaveenGRao @jefrankle will share how to quickly get started with DBRX, build your own custom LLM, and more in this upcoming webinar. Register to tune in live! dbricks.co/3TQSp94

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MLflow @MLflow

4 weeks ago

Come one, come all to the Generative AI Extravaganza: DBRX 🔥👾🥳🚀🤠 on Thursday, May 2nd at 6:00 PT at the @databricks Bellevue office! RSVP & view the event program: meetup.com/seattle-spark-… #opensource #databricks #oss #mlflow

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MLflow @MLflow

4 weeks ago

.@MistralAI has been added as a native provider for the #MLflow Deployments Server in MLflow 2.11.0! You can create proxied connections to the Mistral AI services for completions and embeddings with their powerful #GenAI models. 🔗 Learn more: hubs.la/Q02qsfBT0

MLflow retweeted
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Jonathan Frankle @jefrankle

a month ago

Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.

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