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Kandungan disediakan oleh Jeremy Chapman and Microsoft Mechanics. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Jeremy Chapman and Microsoft Mechanics atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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Using Azure AI Foundry SDK for your AI apps and agents

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Manage episode 465441869 series 1320201
Kandungan disediakan oleh Jeremy Chapman and Microsoft Mechanics. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Jeremy Chapman and Microsoft Mechanics atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Design, customize and manage your own custom applications with Azure AI Foundry right from your code. With Azure AI Foundry, leverage over 1,800 models, seamlessly integrating them into your coding environment to create agents and tailored app experiences. Utilize Retrieval Augmented Generation and vector search to enrich responses with contextual information, as well with built-in services to incorporate cognitive skills such as language, vision, and safety detection.

Dan Taylor, Principal Product Architect for Azure AI Foundry SDK, 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 - Manage AI apps in Azure AI Foundry 00:27 - What's in the Azure AI Foundry 01:37 - Ground apps using your own data 03:03 - Retrieval Augmented Generation 03:48 - Using vector search 04:17 - Set up your coding environment 06:11 - How to build AI apps in code 07:16 - Using traces 07:45 - Evaluating performance against large data sets 08:19 - Options for monitoring your AI apps 08:58 - Wrap up

► Link References Find the Azure AI Foundry at 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

258 episod

Artwork
iconKongsi
 
Manage episode 465441869 series 1320201
Kandungan disediakan oleh Jeremy Chapman and Microsoft Mechanics. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Jeremy Chapman and Microsoft Mechanics atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Design, customize and manage your own custom applications with Azure AI Foundry right from your code. With Azure AI Foundry, leverage over 1,800 models, seamlessly integrating them into your coding environment to create agents and tailored app experiences. Utilize Retrieval Augmented Generation and vector search to enrich responses with contextual information, as well with built-in services to incorporate cognitive skills such as language, vision, and safety detection.

Dan Taylor, Principal Product Architect for Azure AI Foundry SDK, 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 - Manage AI apps in Azure AI Foundry 00:27 - What's in the Azure AI Foundry 01:37 - Ground apps using your own data 03:03 - Retrieval Augmented Generation 03:48 - Using vector search 04:17 - Set up your coding environment 06:11 - How to build AI apps in code 07:16 - Using traces 07:45 - Evaluating performance against large data sets 08:19 - Options for monitoring your AI apps 08:58 - Wrap up

► Link References Find the Azure AI Foundry at 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

258 episod

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