This repo aims to structure various information about LLMs and GenAi in a lesson narrative that is easily understood by traditional software engineering. It highlights the aspects you need to understand from development, operations and security perspective. While there is a lot of material out there, I found myself explaining the same things over and over again and developed a narrative.
The lessons are mainly based on the Langchain framework and expects a bit of familiarity with the Python programming language. Many examples have been borrowed from documentation pages and attribution is given where possible. Kudos to Langchain for collection so much material !
Run your own meetup/hackaton using this repo as base and report back ! We love to hear those stories, send us pictures or videos !