Code AI apps on Azure - Python, Prompty & Visual Studio

Build your own custom applications with Azure AI right from your
code. With Azure AI, leverage over 1,700 models, seamlessly
integrating them into your coding environment to create tailored
app experiences. Utilize features like Retrieval Augmented
Generation and vector search to enrich responses with contextual
information, as well as prebuilt Azure AI services to incorporate
cognitive skills such as language, vision, and safety detection.


Dan Taylor, Principal Product Architect for Microsoft Azure AI,
also shares how to streamline your development process with tools
for orchestration and monitoring. Use templates to simplify
resource deployment and run evaluations against large datasets to
optimize performance. With Application Insights, gain visibility
into your app's metrics, enabling data-driven decisions for
continuous improvement.


 


QUICK LINKS: 
00:00 - Build custom AI apps with the studio in Azure AI
00:27 - Leverage the studio in Azure AI
01:37 - Build apps grounded on custom data
03:03 - Retrieval Augmented Generation
03:48 - Vector search
04:17 - Set up your coding environment
06:11 - How to build in code
07:16 - Traces
07:45 - Evaluate performance against large data set
08:19 - Options for monitoring
08:58 - Wrap up


 


Link References


To get started, go to https://ai.azure.com



Check out our code samples at https://aka.ms/AIAppTemplates


 


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