Exploring Next
Exploring Next — Ep 213 w/ Justy & Cody — Is RAG Still Needed? Choosing the Best Approach for LLMs
Izzo and Boone dive deep into the current state of RAG versus fine-tuning for LLMs, examining when retrieval-augmented generation still makes sense and when newer approaches might be better. They break down the technical trade-offs, cost implications, and real-world performance considerations that developers face when choosing between RAG, fine-tuning, and hybrid approaches.