RAFT (Retrieval Augmented Fine-tuning): A new way to teach LLMs (Large Language Models ...

Retrieved on: 2024-03-15 17:46:32

Tags for this article:

Artificial intelligence

Large language models

Machine learning

Computational neuroscience

Natural language processing

Llama

Fine-tuning

GPT-4

Generative pre-trained transformer

Vector database

Hallucination

Artificial general intelligence

Shishir G. Patil

Click the tags to see associated articles and topics

RAFT (Retrieval Augmented Fine-tuning): A new way to teach LLMs (Large Language Models .... View article details on HISWAI: https://techcommunity.microsoft.com/t5/ai-ai-platform-blog/raft-a-new-way-to-teach-llms-to-be-better-at-rag/ba-p/4084674

Summary

The article discusses RAFT (Retrieval-Augmented Fine-Tuning), a Microsoft AI method that enhances domain adaptation in large language models by combining RAG (Retrieval-Augmented Generation) with fine-tuning, addressing limitations of previous approaches and potentially advancing toward artificial general intelligence.

Article found on: techcommunity.microsoft.com

View Original Article