Agentic AI in .NET with Spencer Schneidenbach
Ready to build an agentic AI in .NET? Carl and Richard talk to Spencer Schneidenbach about his work using large language models to enhance customer interactions in healthcare. Spencer discusses using the LLMs to summarize customer conversations to identify topic areas, sentiment, and other concerns. He digs into how Microsoft's Semantic Kernel makes connecting an OpenAI model to your APIs easy, fetching information and creating a context for testing reliability and consistency with these models. Check out the links for some great tools to help make your AI apps with .NET!
Guests:
Spencer Schneidenbach
Spencer Schneidenbach is a Microsoft MVP and the President and CTO of Aviron Software LLC, a software company specializing in web and mobile development… and most recently, AI!
Links:
- Glance https://github.com/glanceapp/glance
- Semantic Kernel https://learn.microsoft.com/semantic-kernel/overview?WT.mc_id=DT-MVP-10953
- LUIS https://www.luis.ai/
- AI Engineering by Chip Huyen https://www.oreilly.com/library/view/ai-engineering/9781098166298/
- xUnit https://xunit.net/
- Microsoft.Extensions.AI https://learn.microsoft.com/en-us/dotnet/ai/ai-extensions?WT.mc_id=DT-MVP-10953
- Scott Hanselman AI Keynote at NDC London https://www.youtube.com/watch?v=kYUicaho5k8
- GPT-4o mini https://platform.openai.com/docs/models/gpt-4o-mini
- LM Studio https://lmstudio.ai/
- Deep Seek https://www.deepseek.com/
- Aviron Software Blog https://www.avironsoftware.com/insights