Complete AI Course on Prompting, Evals, RAG, and Fine-Tuning | Adam Loving (Meta)
Behind the Craft
00:00
Choosing Between RAG and Fine-Tuning
This chapter explores the decision-making process between retrieval-augmented generation (RAG) and fine-tuning machine learning models for business applications. It emphasizes RAG's advantages for managing dynamic information and discusses the challenges and benefits of fine-tuning in enhancing model performance.
Transcript
Play full episode
