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…

Fine-Tuning Vs RAG in Generative AI, by Sagar Patil

NEFTune”: Discover How Noisy Embeddings Act as Catalyst to Improve Instruction Finetuning!, by AI TutorMaster

List: LLM, Curated by Selecmar

RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?, by Heiko Hotz

Knowledge Graphs & LLMs: Fine-Tuning vs. Retrieval-Augmented Generation - Graph Database & Analytics

Heide Sacher on LinkedIn: #webinar

Bruno Vicente on LinkedIn: He comparado una IA con Google, Alexa y Siri y el resultado asusta. Los…

List: RAG methods, Curated by Pradeep Mohan

Prompt Engineering: Retrieval Augmented Generation - DZone

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

When Do You Use Fine-Tuning Vs. Retrieval Augmented Generation (RAG)? (Guest: Harpreet Sahota)