

RAG vs Fine-Tuning
Feb 8, 2024
This podcast explores the tradeoffs between RAG and fine-tuning for LLMs. It discusses implementing RAG in production, question and answer generation using JSON and LOM models, using GPT for test question generation in agriculture, evaluating relevance in email retrieval, and the use of RAG and fine-tuning for QA pair generation.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 2min
Implementing RAG in Production
02:28 • 7min
Question and Answer Generation with JSON and LOM Model
09:55 • 2min
Using GPT for Test Question Generation in Agriculture
11:41 • 3min
New Approaches to Evaluating Relevance in Email Retrieval
14:24 • 12min
The Use of RAG and Fine-tuning for QA Pair Generation
25:55 • 14min