Microsoft Reactor

In this session we will clear the fog surrounding the complexity of building generative AI (GenAI) applications.

We start by breaking down the backbone of many GenAI systems: Large Language Models (LLMs). We'll explain them in a way that's surprisingly simple. Then, we'll explore how to turn these LLMs from abstract concepts into practical tools. This is where LangChain comes into play – it is a rich framework that streamlines the development of complex GenAI-based applications. Of course, not everything is sunshine and rainbows - we will also cover the gotchas of LangChain.

To prepare you to the scary world outside, we will also touch on Retrieval-Augmented Generation (RAG) briefly, which is often used in real world applications to incorporate additional sources of information. Like before, we’ll keep things abstract and simple, but demo it with real Python code that will make you feel all warm and fuzzy inside.
By the end, you will see that the beast isn’t as scary as it seems. You will know the basic building blocks for building a GenAI app, which will hopefully push you to build the world’s smartest “Hello, World” app.

This session is for software developers that are new to generative AI and need a first push to turn their curiosity into capability
Ori Bar-ilan, Senior Software Engineer, Microsoft
Session length: 45min +15min Q&A

Visit Microsoft Learn to discover free AI learning courses -
https://learn.microsoft.com/ai/?wt.mc_id=slidescontent_21718_webinar_reactor

Register to the Whole Series-
https://developer.microsoft.com/reactor/series/S-1273?wt.mc_id=slidescontent_21718_webinar_reactor

If you signed up for this series, you probably won't want to miss this one either –
https://developer.microsoft.com/reactor/series/S-1271?wt.mc_id=slidescontent_21718_webinar_reactor