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Large Language models are among the most exciting technologies developed in the last few years. While the model's capabilities continue to improve, researchers, practitioners, and the general public are increasingly aware of some of its shortcomings. What will it take to build trustworthy large language models?
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Koyejo et al. (Mon,) studied this question.
www.synapsesocial.com/papers/68e75b3db6db6435876d2ced — DOI: https://doi.org/10.1145/3616855.3636454
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Oluwasanmi Koyejo
Bo Li
Stanford University
University of Chicago
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