Webinar "Should I Use RAG or Fine-Tuning?"

The Data Phoenix team invites you to our upcoming webinar, which will take place on May 2nd at 10 a.m. PT.

• ​​​Topic: Should I Use RAG or Fine-Tuning?
• ​​​Speakers: “Dr. Greg” Loughnane (Co-Founder & CEO of AI Makerspace) & Chris “The Wiz” Alexiuk (Co-Founder & CTO at AI Makerspace)
• ​​​Participation: free (but you’ll be required to register)

​One question we get a lot as we teach students around the world to build, ship, and share production-grade LLM applications is “Should I use RAG or fine-tuning?“

​The answer is yes. You should use RAG AND fine-tuning, especially if you’re aiming at human-level performance in production.

​To best understand exactly how and when to use RAG and Supervised Fine-Tuning (a.k.a SFT or just fine-tuning), there are many nuances that we must consider!

​In this event, we’ll zoom in on prototyping LLM applications, provide mental models for how to think about using RAG, and how to think about using fine-tuning. We’ll dive into RAG and how fine-tuned models, including LLMs and embedding models, are typically leveraged within RAG applications.

​Specifically, we will break down Retrieval Augmented Generation into dense vector retrieval plus in-context learning. With this in mind, we’ll articulate the primary forms of fine-tuning you need to know, including task training, constraining the I-O schema, and language training in detail.

​Finally, we’ll provide an end-to-end domain-adapted RAG application to solve a use case. All code will be demoed live, including what is necessary to build our RAG application with LangChain v0.1 and to fine-tune an open-source embedding model from Hugging Face!

​You’ll learn:

• ​RAG and fine-tuning are not alternatives, but rather two pieces to the puzzle
• ​RAG and fine-tuning are not specific things. They are patterns.
• ​How to build a RAG application using fine-tuned domain-adapted embeddings

​Who should attend the event?

• ​Any GenAI practitioner who has asked themselves “Should I use RAG or fine-tuning?”
• ​Aspiring AI Engineers looking to build and fine-tune complex LLM applications
• ​AI Engineering leaders who want to understand primary patterns for GenAI prototypes

​Speakers

​“Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021 he has built and led industry-leading Machine Learning education programs.  Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher.  He loves trail running and is based in Dayton, Ohio.

​Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.