In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
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In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
113. Vector Databases and RAG for Grounding AI in Reliable Data - with Christian Peeters
Betatalks the podcast
45 minutes
4 months ago
113. Vector Databases and RAG for Grounding AI in Reliable Data - with Christian Peeters
In this Betatalks episode, Rick and Oscar talk with Christian Peeters, a principal Cloud Architect at Betabit and a certified Microsoft trainer. They discuss the intersection of technology, teaching, and continuous learning in software development. They explore emerging tools like vector databases and Retrieval Augmented Generation (RAG), breaking down their complexity while stressing the importance of grounding AI models in real data to ensure trustworthiness. About this episode, and Christi...
Betatalks the podcast
In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
