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…

Prompt Engineering: Retrieval Augmented Generation(RAG), by A B Vijay Kumar

Introduction To Retrieval Augmented Generation - Arize AI

Heide Sacher on LinkedIn: #webinar

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

Fine-Tuning vs. Retrieval Augmented Generation in Large Language Models, by Nishad Ahamed

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

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Fine-Tuning vs. Retrieval Augmented Generation in Large Language Models, by Nishad Ahamed

Build Industry-Specific LLMs Using Retrieval Augmented Generation, by Skanda Vivek