Microsoft Mechanics Podcast

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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