Briefly

• researchers investigated the performance of large language models (LLMs) on a professional-level neurology exam in a cross-sectional study.
• Both versions of ChatGPT show confidence in responses, indicating potential for enhancement in subsequent iterations.
  LLM 2 demonstrates cognitive versatility by performing well on both lower- and higher-order questions. These discoveries allude to the groundbreaking potential.

In a new cross-sectional review scientists investigated the presentation of enormous language models (LLMs) in nervous system science board-style assessments.

The American Board of Psychiatry and Neurology-approved question bank was used in the study, which provided insights into these advanced language models.

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ChatGPT Dominates Neurology Exam

The review included two forms of the LLM ChatGPT — adaptation 3.5 and rendition 4. The discoveries uncovered that LLM 2 fundamentally outflanks its ancestor. Moreover, in any event, astounding the mean human score on the nervous system science board assessment.

As per the discoveries, LLM 2 accurately responded to 85.0% of inquiries. In the mean time, the mean human score is 73.8%.

That’s what this information recommends, with additional refinements, enormous language models could track down critical applications in clinical nervous system science and medical services.

ChatGPT Performs Better On Lower-Order Exam Questions

The two models performed better on lower-request questions. In any case, LLM 2 displayed greatness in both lower and higher-request questions, exhibiting its adaptability and mental capacities.