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…
RAG — Retrieval Augmented Generation, by Cobus Greyling
Retrieval-Augmented Generation: How to Use Your Data to Guide LLMs
Retrieval-augmented generation. A working example for adding private…, by Mike Shwe
Bruno Vicente en LinkedIn: Primer proceso automático de gestión del correo electrónico donde…
Latest AI, Crypto News Headlines for October 10, 2023
List: General ML & AI, Curated by Fabio Lazzarini
Knowledge Graphs & LLMs: Fine-Tuning vs. Retrieval-Augmented Generation - Graph Database & Analytics
Knowledge Graphs & LLMs: Fine-Tuning vs. Retrieval-Augmented Generation - Graph Database & Analytics
How to Finetune the Entire RAG Architecture (including DPR retriever), by Shamane Siriwardhana
