New method makes AI language model evaluations faster, fairer, and less costly
Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.
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Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.
Read moreDetailsAs artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring to $4.8 trillion ...
Read moreDetailsIn high-stakes situations like health care—or weeknight "Jeopardy!"—it can be safer to say "I don't know" than to answer incorrectly. Doctors, ...
Read moreDetailsWhile humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.
Read moreDetailsCan large language models (LLMs) reason by analogy? Some outputs suggest that they can, but it has been argued that these ...
Read moreDetailsAs artificial intelligence tools like ChatGPT are integrated into our everyday lives, our interactions with AI chatbots online become more frequent. ...
Read moreDetailsA team of AI researchers at the Alibaba Group's Tongyi Lab, has debuted a new approach to training LLMs; one that ...
Read moreDetailsIf there's one thing that characterizes driving in any major city, it's the constant stop-and-go as traffic lights change and as ...
Read moreDetailsA team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a new ...
Read moreDetailsHype is growing from leaders of major AI companies that "strong" computer intelligence will imminently outstrip humans, but many researchers in ...
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