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How Do Gen AI systems Learn? Researchers Have a Magic Tool to Understand AI - Harry Potter
27.12.2023 - 03:56 / tech.hindustantimes.com / Harry Potter / Ai
More than two decades after J.K. Rowling introduced the world to a universe of magical creatures, forbidden forests and a teenage wizard, Harry Potter is finding renewed relevance in a very different body of literature: AI research. A growing number of researchers are using the best-selling Harry Potter books to experiment with generative artificial intelligence technology, citing the series' enduring influence in popular culture and the wide range of language data and complex wordplay within its pages. Reviewing a list of studies and academic papers referencing Harry Potter offers a snapshot into cutting-edge AI research — and some of the thorniest questions facing the technology.
In perhaps the most notable recent example, Harry, Hermione and Ron star in a paper titled “Who's Harry Potter?” that sheds light on a new technique helping large language models to selectively forget information. It's a high-stakes task for the industry: Large language models, which power AI chatbots, are built on vast amounts of online data, including copyrighted material and other problematic content. That has led to lawsuits and public scrutiny for some AI companies.
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The paper's authors, Microsoft researchers Mark Russinovich and Ronen Eldan, said they've demonstrated that AI models can be altered or edited to remove any knowledge of the existence of the Harry Potter books, including characters and plots, without sacrificing the AI system's overall decision-making and analytical abilities. The duo said they chose the books because of their universal familiarity. “We believed that it would be easier for people in the research community to evaluate the model resulting from our technique and confirm for themselves that the content has indeed been ‘unlearned,'” said Russinovich, chief technology officer of Microsoft Azure. “Almost anyone can come up with prompts for the model that would probe whether or not it ‘knows' the books. Even people who haven't read the books would be aware of plot elements and characters.”
In another study, researchers from the University of Washington in Seattle, University of California at Berkeley and the Allen Institute for AI developed a new language model called Silo that can remove data to reduce legal risks. However, the model's performance significantly dropped if trained only on low-risk text such as out-of-copyright books or government documents, they said in a paper published earlier this year.
To go deeper, the researchers used Harry Potter books to see if individual pieces of text influence an AI system's performance. They created two datastores, or collections of websites and documents. The first included all published books except the first
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