GPT-4 took the physical therapy exam! The result was shocking

Ana sayfa /

OpenAI’s powerful AI language model GPT-4 has successfully passed Japan’s national physical therapy specialist exam without any additional training or special preparation. The success, which has made a splash in the medical world, has once again demonstrated GPT-4’s capabilities and potential in different fields of knowledge. The findings of the study revealed that GPT-4 is quite effective in text-based questions, but has certain limitations in technical and visual content questions. Here are the details…

GPT-4 takes Japan’s national physical therapy specialist exam: achieves 73.4% success rate

Japan’s national physical therapy specialist exam consists of 200 questions in total, including 160 general knowledge questions and 40 practical questions . The exam tests participants’ memory, comprehension, application, analysis, and evaluation skills. The researchers fed 1,000 questions from the exam into GPT-4 and compared the model’s answers with the official answers. The results showed that GPT-4 answered 73.4% of these questions correctly.

The model performed very strongly on text-based questions, achieving an accuracy rate of 80.1%. However, on questions that included technical details and visuals, the model’s accuracy rate dropped to 46.6%. Questions that included tables and images in particular were the areas where the model struggled the most, with accuracy rates for these types of questions remaining at a low level of 35.4%.

These results show that despite GPT-4’s superior language processing capabilities, it has limitations when it comes to complex problems involving visual data. Another interesting finding of the study is that GPT-4, despite being trained largely on English datasets , also performed quite well on Japanese questions.

This also demonstrates the model’s multilingual capabilities and its ability to perform effectively in different languages. In conclusion, this success rate of GPT-4 is definitely an important step towards exploring the potential and limits of AI in complex knowledge domains.

While it is strong on text-based problems, it clearly needs more development on visual and technical issues. Nevertheless, this success has shown the world once again how AI technologies can play a role in areas such as education and professional exams.