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…

Power of Your Enterprise LLM: Fine-Tuning vs. Retrieval Augmentation

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

Bruno Vicente no LinkedIn: Garsa - presentación corporativa

List: RAG methods, Curated by Pradeep Mohan

Introduction To Retrieval Augmented Generation - Arize AI

Retrieval-augmented generation. A working example for adding private…, by Mike Shwe

How to Finetune the Entire RAG Architecture (including DPR retriever), by Shamane Siriwardhana

List: LLM, Curated by Selecmar

Retrieval Augmented Generation (RAG) Safeguards Against LLM Hallucination

What is Retrieval Augmented Generation (RAG) for LLMs? - Hopsworks

RAG VS FineTuning – Which is the Best Tool for LLM Application? - goML

Harnessing Retrieval Augmented Generation With Langchain, by Amogh Agastya

RAG vs Fine-Tuning: Choosing the Best Tool for Your LLM, by Abhishek Ranjan

List: LLAMAIndex, Curated by Aiswarya Ramachandran