RAG with Llama 2 and LangChain: Building with Open-Source LLM Ops
Learn from AI Makerspace team how to leverage the Llama 2 with LangChain to build the most popular type of LLM application — a Retrieval Augmented Generation (RAG) or Retrieval Augmented Question Answering (RAQA) system.
Keeping pace with the AI industry and keeping up with popular culture is tough. In this event, we’ll help you do both!
We’ll combine the most popular open-source LLM - Llama 2 - with the most popular LLM Operations (LLM Ops) infrastructure tooling - LangChain - to build the most popular type of LLM application - a Retrieval Augmented Generation (RAG) or Retrieval Augmented Question Answering (RAQA) system - to analyze the most popular internet phenomenon on the planet - Barbie + Oppenheimer = Barbenheimer. We’re going to have some fun with this one!
All demo code will be provided via GitHub and/or Colab links during and after the event!
Who should attend the event?
- Learners who want to build Retrieval Augmented Generation (RAG) systems.
- Learners who want to leverage the open-source Llama 2 LLM in their applications.
- Learners who want to get up to speed on best-practice tools in LLM Ops.
Speakers:
- Dr. Greg Loughnane is the Founder & CEO of AI Makerspace, where he serves as lead instructor for their LLM Ops: LLMs in Production course. Since 2021 he has built and led industry-leading Machine Learning & AI boot camp programs. Previously, he has worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and ML researcher. He loves trail running and is based in Dayton, Ohio.
- Chris Alexiuk is the Head of LLMs at AI Makerspace, where he serves as a programming instructor, curriculum developer, and thought leader for their flagship LLM Ops: LLMs in Production course. During the day, he’s a Founding Machine Learning Engineer at Ox. He is also a solo YouTube creator, Dungeons & Dragons enthusiast, and is based in Toronto, Canada.
