Building an End-to-End Web Application with Microsoft's Semantic Kernel

Explore the integration of large language models (LLMs) into web applications using Microsoft's Semantic Kernel in this comprehensive 1-hour 34-minute workshop from the Toronto Machine Learning Series (TMLS). Learn how this open-source SDK enables rapid integration of LLMs while addressing limitations such as information invention and unpredictable responses. Gain hands-on experience in creating a simple web app that leverages OpenAI's LLMs through a structured approach. Discover how Semantic Kernel enhances LLM capabilities by allowing reference to external sources of truth. Join Chinmay Sheth, Colleen Gilhuly, and Haleh Shahzad as they provide a crash course on Microsoft Semantic Kernel and guide you through the process of building an end-to-end web application. Come prepared with an OpenAI API key to participate fully in this practical workshop.