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NYU Langone Health recently hosted its inaugural Generative AI Prompt-A-Thon in Health Care, fostering innovation in artificial intelligence within the medical field. Clinicians, educators, and researchers collaborated to harness AI's potential to address healthcare challenges using de-identified patient data. This event focused on large language models (LLMs) capable of predicting the next word in a sentence based on contextual usage. While LLMs offer creative language generation, they require human oversight in healthcare to ensure accuracy and relevance. The Prompt-A-Thon aimed to engage a broader workforce in generative AI, promoting innovation and fostering a community of learning.
NYU Langone Health organized its inaugural Generative AI Prompt-A-Thon in Health Care, bringing together clinicians, educators, and researchers to explore AI-driven solutions for healthcare challenges using de-identified patient data. The event focused on large language models (LLMs) that predict the next word in a sentence based on context. While LLMs exhibit creativity, they require human oversight, especially in healthcare. The initiative aimed to engage a broad workforce, promote innovation, and create a learning community. Participants discussed the potential applications of generative AI and addressed infrastructure needs. Preliminary results showed increased efficiency and interest in healthcare-related AI projects.
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