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Artificial intelligence can generate significant value for healthcare organizations, and large language models can be useful tools for improving administrative efficiencies and enhancing care quality. However, since artificial superintelligence is still the stuff of science fiction, LLMs need proper guidance in order to be useful to medical professionals, researchers and others in the healthcare industry.An AI-powered system requires training about how to interpret and make sense of the data that it’s trained on, and users must know how to craft their questions to solicit the answers they need from the tool. That’s where prompt engineering comes in.
Prompt engineering is the process of telling an AI solution what to do and how to do it. Using precise and effective natural language prompts, users provide the LLM with a set of instructions about how to complete the task to generate accurate and useful answers. This can include telling the LLM the type of sources to reference and the format in which the user wants the information presented.
Continue reading at healthtechmagazine.net
Healthcare organizations face a complex balancing act when integrating AI, navigating the promise of significant benefits alongside inherent risks. The technology brings a wealth of benefits, such as …
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