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Evaluating Harm Reduction Advice From Large Language Models
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DOI：10.1111/dar.70272.png)
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Abstract
En 中文
Large language models (LLM) and generative Artificial Intelligence are increasingly providing health information. We have applied a novel method to evaluate the harm reduction information generated by popular LLMs. We focused on the filtration of oral medications for injection and the availability of local harm reduction services.
Keywords:
Artificial Intelligence
generative Artificial Intelligence
harm reduction
large language models
substance-related disorders
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