Olaf Hubel

Not used #AzureAIStudio before?? Take 10 mins to watch this video then go get access - you’ll have your own copilot built before you know it! #copilot #genai #azure #azureai

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🚀 Exciting News! Azure AI now features over 1,550 Hugging Face models, marking a significant milestone! 🎉 With these models, you can deploy on MaaP (Model as a Platform), which means you simply need to bring your own GPU-enabled VM. Azure handles the provisioning, so no extensive GPU infrastructure knowledge is required. Just select the VM size and apply for the necessary quota. You have many options for deployment: - Use AI Studio to deploy online endpoints manually. - Use Terraform or Azure Developer CLI for infrastructure as code - A CLI first approach with the Azure ML CLI - A code-first approach with the Azure ML Python SDK to deploy your endpoints with application logic Happy deploying! #AzureAI #HuggingFace #MachineLearning #AI #CloudComputing #PythonSDK #AIStudio

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VoiceRAG: retrieval-augmented generation (RAG) apps with a real-time voice interface. The new GPT-4o realtime API for audio is now available in Azure OpenAI. This model allows developers to build applications with user interfaces like ChatGPT’s advanced voice mode, where users have a real-time, full-duplex audio channel with the model. If the model uses audio for input and output, how do you integrate a retrieval system to ground responses, along the lines of what typical RAG applications do? In this short write up we present a simple pattern for this we called VoiceRAG. The blog post includes a pointer to a repo with a sample implementation of the VoiceRAG pattern you can clone and try with our data or your own. https://aka.ms/voicerag

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🥳🏆Announcing the Winners of "The Microsoft Fabric and AI Learning Hackathon!"🏆🥳 🌐 Learn all about the winning entries and honorable mentions => https://lnkd.in/gp4gWjYP 🌍 We've widened the scope even further for database and developer use cases within the product, making it more accessible and versatile than ever before! 🔍 Dive in, innovate, and stay tuned for the groundbreaking projects that emerged from this exciting event! #MicrosoftFabric #AIHackathon #Innovation #DataAnalytics 🚀📊🤖

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The latest post in the Advancing Azure Reliability series is out: Advancing cloud platform operations and reliability with optimization algorithms

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The next wave of Azure innovation: Azure AI Foundry, intelligent data, and more Azure AI Foundry – A new unified platform to design, customize, and manage the next generation of AI apps and agents at scale. The platform enables deployment of enterprise-ready agents to automate business processes and innovate rapidly.

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PyCon should be awesome this week! Check out the Oracle booth to see Veronica's talk "Unlocking the Power of Oracle Database and Python" and mine on "Developing AI-Driven Apps Using OML4Py, Vector AI Search, and RAG" as well as the "Pods Of Kon" game built on Oracle - 100% open-source right down to the analog synth patches used for the sound effects (the retro dronish Python theme being one of my favs :) )... #pycon #python #oracle #oracledatabase #ai #oml4py #spatial #vectordatabase #moog #dfam

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Do you have any input on #CopilotStudio and the topics that Henry Jammes is raising in his post below, then you should reach out🙏

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New Video! INTERVAL data types are cool in the Oracle Database...until you want to aggregate them over a set of rows.  That restriction has been lifted in 23ai plus a number of other DATE / TIMESTAMP enhancements have also been added! #database #sql https://lnkd.in/g3vPkQqF

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Just before the holidays, we decided to try something new and hosted our first ever virtual conference. As a series A startup, when you start planning you never know how big of a pull you'll have for speakers or audience size when you start planning an event. After all, we definitely aren't at Google anymore. SmallCon turned out better than we could've hoped. Thousands of engineers from several hundred companies attended, and the speaker quality was incredible. Some of my highlights were: 1. "Building an LLM or Agentic application to get to 70% accuracy is easy. Getting above 90% is the interesting part" - Manjeet Singh speaking about the AgentForce platform. 2. "The hang-up I had [with fine-tuning] was that if every model required it's own piece of infrastructure you'd be spending tens of thousands to hundreds of thousands of dollars for every use case...What I saw with Predibase and the LoRAX serving architecture suddenly completed changed that paradigm" - Paul Beswick, Global CIO at Marsh McClenan 3. "I think we started by seeing this new movement as a threat. We had been in the business for a long time, and it felt like everyone could do what we were doing...When we started looking at Small Language Models we were really pessimistic and we set let's set the bar really high for these guys and see how it goes" (spoiler, it went well) - Mo Asady, CTO at Convirza All our recordings are now available online, if you're looking to procrastinate on coming back to the work week from the holidays I'd definitely recommend watching.

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With MongoDB, we help engineering leaders get off the modernization hamster wheel and embrace predictable, optimised spending that fuels their most ambitious initiatives. With powerful features like automated cluster sizing, on-demand pausing, and granular spend visibility, MongoDB Atlas helps you right-size your data infrastructure and take complete control of your IT costs. Perfect way to break free from the constraints of economic uncertainty and get easier budget approvals. This blog helps you understand how MongoDB Atlas can help you take better control of your data costs. #MongoDB #cloud #innovation

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Data discovery with #microsoft GraphRAG Microsoft open-sourced GraphRAG, extracting deep insights from unstructured datasets using LLMs. The GraphRAG use knowledge graphs to extract information and answer questions, so exiting More info: https://lnkd.in/gnt7wXv9 #microsoft #graph #graphRAG #dataAI

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Big news from Microsoft Ignite! MongoDB and Microsoft Azure are teaming up to make building Generative AI apps and real-time analytics easier. Here’s what’s new: ✅ MongoDB Atlas integrates with Azure OpenAI services. ✅ Enterprise Advanced tools now on the Azure Marketplace. Simpler, faster, and more flexible data innovation starts here. Learn more in this CRN article. 👇 https://lnkd.in/gSafxumj #MSIgnite

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🤔 Unlock revenue tied to data streaming or keep your focus on the rest of your roadmap? Good news: that’s a choice you no longer need to make—the Confluent OEM Program is here to empower you to do both! MSPs, CSPs, and ISVs, don’t miss out—learn more about the program on our blog!

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Gemini in BigQuery changes the game for data engineers and analysts! More productivity ✔️ Improved query performance ✔️ Optimized costs throughout the analytics lifecycle—from ingestion and pipeline creation to deriving insights with AI ✔️ #GoogleCloudNext

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Inefficient #spark based pipelines (who doesn't have them). Check your code “readiness” level of your Spark workload for Snowpark using Snowpark Migration Accelerator !! #snowpark #snowflake #sparkmigration

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