Fine-Tuning LLMs With Retrieval Augmented Generation (RAG), by Cobus Greyling
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…
Amit Sharma on LinkedIn: #generativeai #rag #finetuning
Cobus Greyling (@CobusGreylingZA) / X
Leveraging Retrieval Augmented Generation (RAG) Models for Dynamic
Always Retrieval Augment Your Large Language Models
Introduction To Retrieval Augmented Generation - Arize AI
12 Retrieval Augmented Generation (RAG) Tools / Software in '23
Fine-tuning an LLM vs. RAG: What's Best for Your Corporate Chatbot?
Cobus Greyling on LinkedIn: Updated: Emerging RAG & Prompt
Fine Tuning or Retrieval Augmented Generation (RAG), That Is the
Retrieval-Augmented Generation vs Fine-Tuning: What's Right for You?
T-RAG = RAG + Fine-Tuning + Entity Detection
Retrieval Augmented Generation (RAG) for LLMs
Types of RAG: An Overview. Retrieval Augmented Generation is the…, by Jayanth Krishnaprakash
Retrieval-Augmented Generation: How to Use Your Data to Guide LLMs
Cobus Greyling on LinkedIn: Data Delivery can be best described as the process of imbuing one or more…