Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)
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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…
Enrich LLMs with Retrieval Augmented Generation (RAG), by Murtuza Kazmi
Understanding RAG and fine-tuning of LLMs, by Ashok Poudel
Augmenting LLMs: Fine-Tuning or RAG? - by Damien Benveniste
When Do You Use Fine-Tuning Vs. Retrieval Augmented Generation (RAG)? (Guest: Harpreet Sahota)
List: KnowledgeGraph, Curated by Philippe Decottignies
List: RAG, Curated by ShAI Bernard Lelchuk
Retrieval-Augmented Generation (RAG) vs LLM Fine-Tuning, by Cobus Greyling
Understanding RAG and fine-tuning of LLMs, by Ashok Poudel
Retrieval Augmented Generation - A Simple Introduction
Bruno Vicente on LinkedIn: ¡SOS, batería baja! Cuidado con dónde cargas tu dispositivo
List: RAG methods, Curated by Pradeep Mohan
