Explore how generic LLM outputs differ from customized responses using Retrieval‑Augmented Generation and fine‑tuning, and learn criteria for selecting each method.
Overview
This demo covers the difference between using a plain generic LLM, and then making it “speak” the way you want through approaches like RAG architecture and fine-tuning.
