Content-type: text/html Downes.ca ~ Stephen's Web ~ CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering

Stephen Downes

Knowledge, Learning, Community

It was only a matter of time. "We present (13 page PDF) CORE-GPT, a novel question-answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE.... CORE-GPT which delivers evidence-based answers to questions, along with citations and links to the cited papers, greatly increasing the trustworthiness of the answers and reducing the risk of hallucinations." There's still a way to go (you'll see the results aren't perfect), but it gets the idea across. Bryan Alexander today posed the question, "What would it take for academics to start protecting their digital content from AI scraping?" (Here, Also) My response is essentially that this is the wrong way to think about content and attribution. But we need to discuss this.

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Stephen Downes Stephen Downes, Casselman, Canada
stephen@downes.ca

Copyright 2024
Last Updated: Oct 31, 2024 9:01 p.m.

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