Session
Leveraging Offline AI with Small Language Models in .NET
Discover how to quickly set up your own offline AI system for conversational interactions or to power your applications—whether at home or in the cloud.
Small Language Models (SLMs) are powerful tools that enable advanced AI capabilities without the need for constant internet connectivity or extensive resources. This talk focuses on the potential of SLMs for offline applications, using home automation as a compelling example. We'll delve into how SLMs work, demystify model naming conventions like 8B, Q4, and more.
Join us to explore the possibilities of offline AI and learn how to implement SLMs effectively for enhanced privacy, efficiency, and control in your projects.
Jernej Kavka
Microsoft AI MVP, SSW Solution Architect
Brisbane, Australia
Links
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