Microsofthttps://mvp.microsoft.com/en-US/MVP/profile/0dbbdb4a-6420-48d0-99c0-525e5a29044dKonstantinosPassadis
Hi! I'm an entry-level data scientist, and this sounds super fascinating! I’m just starting to explore AI tools, and I’d love to know—how does the Semantic Kernel help in integrating Azure AI with .NET? Also, could you share an example of one of the ideas you turned into an actual implementation? It’s inspiring to see how tools like this can bridge theory and practice!
Hello ruqzz ! Thank you for your message ! Semantic Kernel is a game changer since it is an SDK on its own, specifically built to orchestrate AI capabilities within .NET applications. SK acts as a bridge between Azure AI and .NET, making it easier for developers to integrate AI capabilities into their applications. It provides a structured way to interact with Azure AI services, including Azure OpenAI, Azure AI Search, and Azure Functions, allowing developers to build intelligent applications with minimal complexity. Look this blog post, of an end to end Project of mine to get a deeper view ! Feel free to contact me directy for more on this amazing framework and AI innovation! 🙂
