Unlock the potential of custom large language models (LLMs) with Azure AI's powerful infrastructure. This session explores Azure Machine Learning and Azure AI infrastructure, including ND H100 and H200 series. Learn how to leverage distributed training to enhance scalability, performance, and efficiency. We'll cover practical techniques for optimizing LLM training workflows, ensuring you can harness the full potential of Azure AI to accelerate your AI projects.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * John Lee * Ben Levine * Yogi Pandey * Alejandra Rico

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK120 | English (US) | AI

MSIgnite

Learn about the new capabilities of Azure Machine Learning Registry that enables you to deploy a Large Language Model (GPT) and integrate it with Power Platform John Aziz, a Gold Microsoft Learn Student Ambassador from Egypt and Lee Stott Principal Cloud Advocate Manager. In this session, you'll learn about Large Language Models and the steps you need to preform to deploy them to Azure Machine Learning, discover how to set up an Azure Machine Learning Workspace, deploy the machine learning model, learn about Power Apps and Power Automate, and integrate the deployed model with Power Apps. Follow along as we provides clear instructions, make the process accessible to both beginners and experienced tech enthusiasts. By the end, you'll have a fully functional application capable of generating text and creative writing ideas. Connect with John and Lee on Twitter and LinkedIn to explore more Microsoft tools and cool tech solutions.

Learn about the new capabilities of Azure Machine Learning Registry that enables you to deploy a Large Language Model (GPT) and integrate it with Power Platform John Aziz, a Gold Microsoft Learn Student Ambassador from Egypt and Lee Stott Principal Cloud Advocate Manager. In this session, you'll learn about Large Language Models and the steps you need to preform to deploy them to Azure Machine Learning, discover how to set up an Azure Machine Learning Workspace, deploy the machine learning model, learn about Power Apps and Power Automate, and integrate the deployed model with Power Apps. Follow along as we provides clear instructions, make the process accessible to both beginners and experienced tech enthusiasts. By the end, you'll have a fully functional application capable of generating text and creative writing ideas. Connect with John and Lee on Twitter and LinkedIn to explore more Microsoft tools and cool tech solutions.

Learn about the new capabilities of Azure Machine Learning Registry that enables you to deploy a Large Language Model (GPT) and integrate it with Power Platform John Aziz, a Gold Microsoft Learn Student Ambassador from Egypt and Lee Stott Principal Cloud Advocate Manager. In this session, you'll learn about Large Language Models and the steps you need to preform to deploy them to Azure Machine Learning, discover how to set up an Azure Machine Learning Workspace, deploy the machine learning model, learn about Power Apps and Power Automate, and integrate the deployed model with Power Apps. Follow along as we provides clear instructions, make the process accessible to both beginners and experienced tech enthusiasts. By the end, you'll have a fully functional application capable of generating text and creative writing ideas. Connect with John and Lee on Twitter and LinkedIn to explore more Microsoft tools and cool tech solutions.

2016 is almost in the books! In just over a week, we'll be ringing in the new year, and we have it on Very Good Authority that 2017 will be the Year of Mobile. But, this episode is as much about looking back as it is about looking forward -- looking back on how our industry has evolved, what product launches piqued our interest the most, and what Snoop Dogg-related stunt marketing occurred during the year. We even do a little navel gazing about the podcast itself: our favorite topics and guests (although we love ALL the topics and guests!), and a bit of news about what will be happening with the podcast in 2017. So kick back, bust open a few roasted chestnuts, spike your eggnog generously, and give it a listen! Technologies, services, and random items mentioned in this episode include: more past episodes than are worth linking to, RSiteCatalyst, Hidden Brain podcast: Can Social Science Help You Quit Smoking for Good?, SUPERWEEK, Matt Gershoff, Caleb Whitmore, Adobe Summit, eMetrics, MeasureCamp, Un-Summit, Digital Analytics Hub, Gary Angel / Digital Mortar, Paco Underhill / Why We Buy: The Science of Shopping, Jan Exner, Justin Cutroni, Kevin Hillstrom, Measure Slack, Lee Isensee, Tableau, Domo, the Domo stunt at the Tableau Conference, John Scalzi, Joe Haldeman, and Philip K. Dick.