I like to talk about AI and other tech stuff. Currently making AI Products @Microsoft. Prev. at Product Manager for @mlflow @Databricks

Seattle, WA
Joined February 2023
Excellent think piece by UX designer at @Google on the current state of AI Agent adoption. “Silicon Valley fell in love with total automation, when regular people just wanted a tool to collaborate with.” medium.com/@osazmcpeters/why…
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Abe Omorogbe retweeted
Meet Azure Horizon DB: Enterprise-ready PostgreSQL, designed for the needs of modern apps, with Visual Studio Code tooling, and AI capabilities built-in. Learn more: msft.it/6014vb7jY
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damn, microsoft cooking this week: new postgres plugin for vscode ◆ schema visualizer ◆ database explorer in the file navigator ◆ query history ◆ intellisense
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Build AI apps fluidly using the new PostgreSQL extension for @code with @GitHub Copilot capabilities for highly contextual development. Learn more: azure.microsoft.com/en-us/bl… #PostgreSQL
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Abe Omorogbe retweeted
🚀 Counting down to #MSIgnite! Join me & @_aiabe for an exciting 🛠️ hands-on lab on AI-powered features in @AzureDBPostgres! Explore vector indexing, Graph RAG, & Semantic Search Reranking to transform your apps. Sign up now—spots are filling fast! ⚡
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🚀 Transform your apps with AI in @AzureDBPostgres. Join @_aiabe & me at #MSIgnite for hands-on labs featuring vector indexing & Azure AI extensions. 📷 Nov 20–22 📷 ignite.microsoft.com/en-US/s…… #Azure #AI #PostgreSQL
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I took a stab at implementing a vision language model from scratch in pure PyTorch. The inspiration for this is moondream 2 from @vikhyatk . I basically modified makemore from @karpathy and built everything else around it. Here’s my write up: huggingface.co/blog/AviSoori…
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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/443a398dabd44…
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Abe Omorogbe retweeted
Today we released an open source model, DBRX, that beats all previous open source models on the standard benchmarks. The model itself is a Mixture of Experts (MoE), that's roughly twice the brains (132B) but half the cost (36B) of Llama2-70B. Making it both smart and cheap. Since only 36B expert parameters are used live, it's close to twice the speed (tokens/seconds) of Llama2-70B. We're excited to build custom versions of this for organizations that have proprietary data! Check it out! databricks.com/blog/announci…
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Abe Omorogbe retweeted
📣 Exciting news from #MLflow! We're thrilled to announce the launch of our MLflow Ambassador Program. This unique opportunity is designed for passionate community members who are ready to take their engagement to the next level. 🚀 Apply Now 👉 mlflow.org/ambassador #oss
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Lots of great features in this new @MLflow release, including auto-logging of @langchain pipelines to help you trace and debug all steps!
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 & more!mlflow.org/releases/2024/01/…
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Abe Omorogbe retweeted
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 & more!mlflow.org/releases/2024/01/…
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Abe Omorogbe retweeted
DONDA is the new FAANG Deepmind Open AI Nvidia Databricks Anthropic
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Looking to learn about new significant releases in MLflow? 🔍 Find out about the details of major features, changes, and deprecations. ➡️ bit.ly/47IP00z #opensource #oss #MLflow #linuxfoundation
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Scaling your AI/ML practices with MLOps and Azure Machine Learning xitter.cf/i/broadcasts/1nAKErzvy…
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On Monday’s #AIShow, we’re talking all about how to scale your #AIML practices with Ops and #Azure Machine Learning! Mark your calendar 📆 and join us at 8:30 am PT ▶️ aka.ms/AIShowLive #machinelearning  @sethjuarez @msdev
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From the #Azure blog, TensorFlow 2.0 on Azure: Fine-tuning BERT for question tagging from Gopal Vashishtha, Abe Omorogbe and John Wu buff.ly/2qN9Oo2
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