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A tartalmat a Jeremy Chapman and Microsoft Mechanics biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeremy Chapman and Microsoft Mechanics vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Code AI apps on Azure - Python, Prompty & Visual Studio

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Manage episode 444453328 series 2391604
A tartalmat a Jeremy Chapman and Microsoft Mechanics biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeremy Chapman and Microsoft Mechanics vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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

► Unfamiliar with Microsoft Mechanics?

As 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.

• Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries

• Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog

• Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast

► Keep getting this insider knowledge, join us on social:

• Follow us on Twitter: https://twitter.com/MSFTMechanics

• Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/

• Enjoy us on Instagram: https://www.instagram.com/msftmechanics/

• Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

  continue reading

211 epizódok

Artwork
iconMegosztás
 
Manage episode 444453328 series 2391604
A tartalmat a Jeremy Chapman and Microsoft Mechanics biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeremy Chapman and Microsoft Mechanics vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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

► Unfamiliar with Microsoft Mechanics?

As 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.

• Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries

• Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog

• Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast

► Keep getting this insider knowledge, join us on social:

• Follow us on Twitter: https://twitter.com/MSFTMechanics

• Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/

• Enjoy us on Instagram: https://www.instagram.com/msftmechanics/

• Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

  continue reading

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