Monday, May 19, 2025
LBNN
  • Business
  • Markets
  • Politics
  • Crypto
  • Finance
  • Energy
  • Technology
  • Taxes
  • Creator Economy
  • Wealth Management
  • Documentaries
No Result
View All Result
LBNN

RAGE tool unveils ChatGPT’s sources

Simon Osuji by Simon Osuji
June 4, 2024
in Artificial Intelligence
0
RAGE tool unveils ChatGPT’s sources
0
SHARES
2
VIEWS
Share on FacebookShare on Twitter


Know your source: RAGE tool unveils ChatGPT's sources
The architecture of RAGE. Credit: arXiv (2024). DOI: 10.48550/arxiv.2405.13000

A team of researchers based at the University of Waterloo have created a new tool—nicknamed “RAGE”—that reveals where large language models (LLMs) like ChatGPT are getting their information and whether that information can be trusted.

Related posts

A Silicon Valley VC Says He Got the IDF Starlink Access Within Days of October 7 Attack

A Silicon Valley VC Says He Got the IDF Starlink Access Within Days of October 7 Attack

May 19, 2025
Microsoft is bringing Elon Musk’s AI models to its cloud

Microsoft is bringing Elon Musk’s AI models to its cloud

May 19, 2025

LLMs like ChatGPT rely on “unsupervised deep learning,” making connections and absorbing information from across the internet in ways that can be difficult for their programmers and users to decipher. Furthermore, LLMs are prone to “hallucination”—that is, they write convincingly about concepts and sources that are either incorrect or nonexistent.

“You can’t necessarily trust an LLM to explain itself,” said Joel Rorseth, a Waterloo computer science Ph.D. student and lead author on the study. “It might provide explanations or citations that it has also made up.”

Rorseth’s team’s new tool employs a recently developed strategy, called “retrieval-augmented generation” (RAG), to understand the context for LLMs’ answers to a given prompt.

“RAG allows users to provide their own sources to an LLM for context. Our tool illustrates how different sources lead to different answers when using RAG, helping to assess whether that information is trustworthy,” Rorseth said.

Because their tool focuses on retrieval-augmented generation explainability, they nicknamed it “‘RAGE’ against the machine.”

Understanding where LLMs like ChatGPT are getting their information—and ensuring they’re not repeating misinformation—will only become more important as highly sensitive, human-centered industries like the medical and legal sectors adopt these tools, Rorseth said.

“We’re in a place right now where innovation has outpaced regulation,” he said. “People are using these technologies without understanding their potential risks, so we need to make sure these products are safe, trustworthy, and reliable.”

The research, “RAGE Against the Machine: Retrieval-Augmented LLM Explanations,” will be published in the Proceedings of the 40th IEEE International Conference on Data Engineering. It is currently available on the arXiv preprint server.

More information:
Joel Rorseth et al, RAGE Against the Machine: Retrieval-Augmented LLM Explanations, arXiv (2024). DOI: 10.48550/arxiv.2405.13000

Journal information:
arXiv

Provided by
University of Waterloo

Citation:
Know your source: RAGE tool unveils ChatGPT’s sources (2024, June 4)
retrieved 4 June 2024
from https://techxplore.com/news/2024-06-source-rage-tool-unveils-chatgpt.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





Source link

Previous Post

A Former Starbucks Employee’s Side Hustle Earns $70k Monthly

Next Post

Strategic Korea-Africa Partnership Will Help Unlock Africa’s Potential

Next Post
Strategic Korea-Africa Partnership Will Help Unlock Africa’s Potential

Strategic Korea-Africa Partnership Will Help Unlock Africa’s Potential

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

RECOMMENDED NEWS

Apple partners with OpenAI as it unveils ‘Apple Intelligence’

Apple partners with OpenAI as it unveils ‘Apple Intelligence’

11 months ago
Federal Labor Unions Steel Themselves for Trump’s Mass Firings

Federal Labor Unions Steel Themselves for Trump’s Mass Firings

5 months ago
Building a high-performance electrochemical sensor using activated biochar from pineapple peel waste

Building a high-performance electrochemical sensor using activated biochar from pineapple peel waste

2 years ago
Kenya and US crypto groups unite in demand for release of detained Binance execs in Nigeria

Kenya and US crypto groups unite in demand for release of detained Binance execs in Nigeria

1 year ago

POPULAR NEWS

  • Ghana to build three oil refineries, five petrochemical plants in energy sector overhaul

    Ghana to build three oil refineries, five petrochemical plants in energy sector overhaul

    0 shares
    Share 0 Tweet 0
  • When Will SHIB Reach $1? Here’s What ChatGPT Says

    0 shares
    Share 0 Tweet 0
  • Matthew Slater, son of Jackson State great, happy to see HBCUs back at the forefront

    0 shares
    Share 0 Tweet 0
  • Dolly Varden Focuses on Adding Ounces the Remainder of 2023

    0 shares
    Share 0 Tweet 0
  • US Dollar Might Fall To 96-97 Range in March 2024

    0 shares
    Share 0 Tweet 0
  • Privacy Policy
  • Contact

© 2023 LBNN - All rights reserved.

No Result
View All Result
  • Home
  • Business
  • Politics
  • Markets
  • Crypto
  • Economics
    • Manufacturing
    • Real Estate
    • Infrastructure
  • Finance
  • Energy
  • Creator Economy
  • Wealth Management
  • Taxes
  • Telecoms
  • Military & Defense
  • Careers
  • Technology
  • Artificial Intelligence
  • Investigative journalism
  • Art & Culture
  • Documentaries
  • Quizzes
    • Enneagram quiz
  • Newsletters
    • LBNN Newsletter
    • Divergent Capitalist

© 2023 LBNN - All rights reserved.