Sign up to save tools and stay up to date with the latest in AI
bg
bg
1

RAFT:  A new way to teach LLMs to be better at RAG

Mar 19, 2024 - techcommunity.microsoft.com
The article discusses a new approach called RAFT (Retrieval Augmented Fine Tuning) developed by UC Berkeley researchers, Tianjun Zhang and Shishir G. Patil, to improve the performance of Language Learning Models (LLMs) in specific domains. RAFT combines the benefits of Retrieval Augmented Generation (RAG) and domain-specific Fine-tuning (DSF) to better adapt LLMs to specific domains such as banking, legal, and medical. The researchers used Meta Llama 2 and Azure AI Studio to implement their approach, which involves training the model on a synthetic dataset to better adapt it to the domain before it is used in a RAG setup.

The article also highlights an interview with the researchers, where they discuss their choice of using Llama 2 7B, recommendations for fine-tuning LLMs, and their experience with Azure AI Studio. The Berkeley team used Azure AI Studio to fine-tune Meta Llama 2 for their RAFT paper, praising the platform for its user-friendly interface and ease of use. The article concludes by emphasizing the value of Llama and Azure in democratizing access to state-of-the-art natural language processing capabilities.

Key takeaways:

  • Researchers from UC Berkeley have developed a new approach called RAFT (Retrieval Augmented Fine Tuning) that combines the benefits of Retrieval-Augmented Generation and Fine-Tuning for better domain adaptation in language learning models (LLMs).
  • The RAFT method involves the model 'studying' the documents beforehand, which improves its performance in Retrieval Augmented Generation tasks.
  • The Berkeley team used Azure AI Studio for fine-tuning the Llama 2 model, highlighting the platform's ease of use and performance.
  • Azure AI Studio is democratizing access to state-of-the-art natural language processing capabilities by providing an easy-to-use platform for fine-tuning, testing, and deploying models, thus enabling developers and enterprises to create innovative and customized solutions for their specific needs.
View Full Article

Comments (0)

Be the first to comment!