You can integrate your own data across multiple different data sets to ground your model, which is made easier through direct integration with OneLake in Microsoft Fabric, which uses shortcuts to let you bring in virtualized datasets across your data estate without you having to move them. The model catalog uniquely gives you access to cutting-edge models in the Azure OpenAI service, and from across the ecosystem with models from Meta, NVIDIA and Microsoft Research as well hundreds of open-source models. And now with Azure AI Studio, you have a unified platform to build and deploy copilots of your own all from one place. They provide an intelligent natural language interface to the underlying data of your apps. Microsoft itself now has copilots available for its most popular workloads from Copilot in Bing to Microsoft 365 app experiences, GitHub for code generation, security investigation and response, and much more. Powerful copilot experiences using GPT, and other generative AI models are fast becoming an expected part of everyday app experiences. Loosen up with us on TikTok: Transcript:.Keep getting this insider knowledge, join us on social: Watch or listen from anywhere, subscribe to our podcast:.Talk with other IT Pros, join us on the Microsoft Tech Community:. ![]() Check out Azure AI Studio.Īpply content filters to monitor quality and safety of AI app responses.Ġ0:00 - Build your own copilots in Azure AI StudioĠ3:53 - Retrieval augmented generation grounded on your dataĠ4:54 - Experiment with prompts: Multi-modalityĠ6:47 - Advanced capabilities: Prompt flowĠ8:58 - Ensure quality and safety of responsesĬheck out our QuickStart guides at Unfamiliar with Microsoft Mechanics?Īs Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Guide the behavior of your application to better fit your use case with prompt flow. Assess prompt flows prior to putting code into production, with built-in evaluation tools. Incorporate images, text, speech and videos with Azure AI Studio. Seth Juarez, Principal Program Manager for Azure AI, gives you an overview of Azure AI Studio.īuild a multi-modal copilot app powered by retrieval-augmented generation. Test your AI applications for quality and safety with built-in evaluation, and use a prompt flow tool for custom orchestration, as well as overarching controls with Responsible AI content filters for safety. ![]() Use Azure AI Studio for full lifecycle development from a unified playground for prompt engineering, to pre-built Azure AI skills to build multi-modal applications, using language, vision, and speech, as well as Search, which includes hybrid with semantic ranking for more precise information retrieval. It uses shortcuts to let you bring in virtualized data sets across your data estate without having to move them. Integrate your own data across multiple data sets to ground your model, which is made easier through direct integration with OneLake in Microsoft Fabric. Access models in the Azure OpenAI service from Meta, NVIDIA and Microsoft Research, as well hundreds of open-source models. Build, test, deploy, and monitor your generative AI apps at scale from one place with Azure AI Studio.
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