Smart RAG: Domain-specific fine-tuning for end-to-end Application
In this event, we’ll break down “real” RAG systems, including the core components within domain-adapted RAG systems that should be optimized to produce the highest quality LLM outputs.
We will develop an intuition for why fields like law, medical, and insurance, which use very specific language, can benefit from Smart RAG systems. The event will include domain-specific examples that showcase the power of Smart RAG systems that leverage Domain Adapted Language Models (DALM).
Finally, we will demo a brand new tool - arcee.ai - which makes building Smart RAG systems with DALM easier than ever!
As always, all GitHub repositories and colab notebooks will be shared live for you to follow along with during the event!
Who should attend?
Data scientists and ML engineers who want to build advanced RAG QA systems.
Learners who want to understand the basics of RAG as outlined in the original paper.
LLM practitioners who work in domain-specific language fields like law, medical, and insurance.
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 bootcamp 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.
