UC San Diego Today

AI Models Can Now Be Customized with Far Less Data and Computing Power

The new method developed by UC San Diego engineers takes a smarter approach. Instead of retraining an entire model from ...
eWeek

What is Retrieval-Augmented Generation? How it Works & Use Cases

Retrieval-augmented generation, or RAG, is a technique for enhancing the output of large language models by incorporating information from external knowledge bases or sources. By retrieving relevant ...

Wendi Cui: Deeply Integrating Natural Language Processing to Unlock New Potential in Information Retrieval

Among them, the annual conference of the Association for Computational Linguistics (ACL), a premier event in the field of Natural Language Processing (NLP), has captivated the attention of scholars ...
Forbes

The Evolution Of Search: From Document Retrieval To Answer Generation

In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...
Business Insider

AI chatbots spew out nonsense too often. But there's a solution: retrieval-augmented generation.

Every time Matthew S. Smith publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to receive emails ...
Ars Technica

Can a technology called RAG keep AI models from making stuff up?

We’ve been living through the generative AI boom for nearly a year and a half now, following the late 2022 release of OpenAI’s ChatGPT. But despite transformative effects on companies’ share prices, ...