May 6, 2024, 4:47 a.m. | Jakub Pokrywka, Jeremi Kaczmarek, Edward Gorzela\'nczyk

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.01589v1 Announce Type: new
Abstract: Introduction: Recently, the effectiveness of Large Language Models (LLMs) has increased rapidly, allowing them to be used in a great number of applications. However, the risks posed by the generation of false information through LLMs significantly limit their applications in sensitive areas such as healthcare, highlighting the necessity for rigorous validations to determine their utility and reliability. To date, no study has extensively compared the performance of LLMs on Polish medical examinations across a broad …

abstract applications arxiv board certification cs.ai cs.cl false gpt gpt-4 however information introduction language language models large language large language models llms risks them through type

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