Asking an AI about your health issues might be better than WebMD, but it does come with some caveats.
published by the group, their model scored 67.6 percent on a benchmark test containing questions from the US Medical License Exam, which they claim surpassed previous state-of-the-art software by 17 percent. One version of it performed at a similar level to human clinicians. But, there are plenty of caveats that come with this algorithm, and others like it.
Here are some quick facts about the model: It was trained on a dataset of over 3,000 commonly searched medical questions, and six other existing open datasets for medical questions and answers, including medical exams and medical research literature.
Adriana Porter Felt, a software engineer that works on Google Chrome who was not a part of the paper, noted onthat the version of the model that answered medical questions similarly to human clinicians accounts for the added feature of “instruction prompt tuning, which is a human process that is laborious and does not scale.” This includes carefully tweaking the wording of the question in a specific way that allows the AI to retrieve the correct information.
Language models are getting better at parsing information with more complexity and volume. And they seem to do okay with tasks that require scientific knowledge and reasoning. Several small models, including
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