Build your own copilots with Azure AI Studio

Build, test, deploy, and monitor your generative AI apps at scale
from one place with Azure AI Studio. Access models in the Azure
OpenAI service from Meta, NVIDIA and Microsoft Research, as well
hundreds of open-source models. Integrate your own data across
multiple data sets to ground your model, which is made easier
through direct integration with OneLake in Microsoft Fabric. It
uses shortcuts to let you bring in virtualized data sets across
your data estate without having to move them.


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. 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. Seth Juarez, Principal Program Manager for Azure AI,
gives you an overview of Azure AI Studio.


 


QUICK LINKS:


00:00 - Build your own copilots in Azure AI Studio
01:52 - Copilot app running as a chatbot|
03:53 - Retrieval augmented generation grounded on your
data
04:54 - Experiment with prompts: Multi-modality
06:47 - Advanced capabilities: Prompt flow
08:58 - Ensure quality and safety of responses
10:09 - Wrap up


 


Link References
Start using Azure AI Studio today at https://ai.azure.com 


Check out our QuickStart guides
at https://aka.ms/LearnAIStudio  


 


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