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…

Which is better, retrieval augmentation (RAG) or fine-tuning? Both.

Improving Large Language Models with Retrieval Augmented Generation

A Gentle Introduction to Retrieval Augmented Generation (RAG)

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

List: RAG methods, Curated by Pradeep Mohan

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Giovanni Lima on LinkedIn: Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)

Retrieval-Augmented Generation vs Fine-Tuning: What's Right for You?

Patterns for Building LLM-based Systems & Products

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

Retrieval-Augmented Generation for Large Language Models: A Survey - A Read Through

Knowledge Zone Topic Explorer

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