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Generative AI-produced summaries can be a huge time-saver. We’ve seen this serve as an aid to draft emails and papers research in-depth topics and more. The results, despite needing to be verified, often provide a baseline to get started at the very least. In healthcare, this is of significant value to busy medical professionals. But for healthcare users, there’s a lot more at stake than an email that needs revisions. If a summary fails to generate accurate or appropriate content, the user can simply refine their prompt and move on. A physician, on the other hand, could be compromising the quality of care and the consequences could be life-changing. Read more: https://hubs.li/Q02DNLH70 #largelanguagemodels #LLMs #HealthcareLLMs #responsibleai #nocode #HealthcareAI #MedicalLLMs #MachineLearning #IoT #ResponsibleAI #artificialintelligence #digitaltransformation #NLP #nlu

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