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A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
April 25, 2024, 5:44 p.m. | Yining Huang, Keke Tang, Meilian Chen
cs.CL updates on arXiv.org arxiv.org
Abstract: Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs) such as GPT and BERT have evolved significantly, impacting various industries with their advanced capabilities in language understanding and generation. These models have shown potential to transform the medical field, highlighting the necessity for specialized evaluation frameworks to ensure their effective and ethical deployment. This comprehensive survey delineates the extensive application and requisite evaluation of LLMs within healthcare, emphasizing the critical need …
abstract advanced applications architecture arxiv bert capabilities cs.cl gpt industries industry language language model language models language understanding large language large language model large language models llms medical survey transformer transformer architecture type understanding
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