Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)

This approach is a novel implementation of RAG called RA-DIT (Retrieval Augmented Dual Instruction Tuning) where the RAG dataset (query, context retrieved and response) is used to to fine-tune a LLM…

RAG to riches: Unleashing the power of retrieval augmented generation (RAG) in LLMs

Fine-Tuning LLMs With Retrieval Augmented Generation (RAG), by Cobus Greyling

Fine Tuning or Retrieval Augmented Generation (RAG), That Is the Question, by Peng Liu, Mar, 2024

Bruno Vicente no LinkedIn: Garsa - presentación corporativa

Introduction To Retrieval Augmented Generation - Arize AI

Fine-Tuning vs. Retrieval Augmented Generation in Large Language Models, by Nishad Ahamed

Cobus Greyling on LinkedIn: Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)

List: RAG, Curated by ShAI Bernard Lelchuk

List: General ML & AI, Curated by Fabio Lazzarini

Retrieval-Augmented Generation (RAG) or Fine-tuning — Which Is the Best Tool to Boost Your LLM