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…
What is Retrieval Augmented Generation (RAG)?
Understanding RAG and fine-tuning of LLMs, by Ashok Poudel
NEFTune”: Discover How Noisy Embeddings Act as Catalyst to Improve Instruction Finetuning!, by AI TutorMaster
Cobus Greyling on LinkedIn: Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)
List: LLM, Curated by CP Lu, PhD
Build Industry-Specific LLMs Using Retrieval Augmented Generation, by Skanda Vivek
Freshen up LLMs 'Retrieval Augmented Generation' - The New Stack
List: RAG, Curated by ShAI Bernard Lelchuk
List: Chatbot, Curated by Anuj Mp
Fine-Tuning LLMs With Retrieval Augmented Generation (RAG), by Cobus Greyling
Introduction To Retrieval Augmented Generation - Arize AI
List: RAG methods, Curated by Pradeep Mohan
List: Building using LLMs, Curated by Dhruvajyoti Sarma
The Power of Retrieval Augmented Generation (RAG) LLM-based Academic Search Engines
Bruno Vicente posted on LinkedIn
