By the end of this session, you’ll be able to leverage on-device ML models and walk away with the knowledge on how to elevate your AI experience. We’ll show you how to fine-tune Phi Silica - our own SLM - with your custom data using a LoRA adapter. We will show you how to build innovative AI capabilities like Semantic Search and Knowledge Retrieval in your apps with semantic index, all while following responsible AI practices.
To learn more, please check out these resources:
aka.ms/build25/collection/WindowsAIFoundry
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
Lei Xu
Rahul Amlekar
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at build.microsoft.com/
BRK224 | English (US) | Windows
Related Sessions:
BRK223 -- build.microsoft.com/sessions/BRK223?wt.mc_id=yt_PL…
BRK225 -- build.microsoft.com/sessions/BRK225?wt.mc_id=yt_PL…
DEM573 -- build.microsoft.com/sessions/DEM573?wt.mc_id=yt_PL…
DEM574 -- build.microsoft.com/sessions/DEM574?wt.mc_id=yt_PL…
LAB372 -- build.microsoft.com/sessions/LAB372?wt.mc_id=yt_PL…
#MSBuild, #Windows
Chapters:
0:00 - Summary of coding session
00:05:44 - Review of past sessions and recap of AI features
00:18:00 - Showcase of Assistive Technology for Visually Impaired
00:19:52 - Practical Applications in Microsoft Word for Accessibility
00:25:04 - Overview of Inbox AI AP and Language Model Customization
00:30:11 - Introduction of Project Spark on Copilot Plus PCs
00:31:55 - Integration Challenges
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