GPT-4 took the physical therapy exam! The result was shocking
The success of the GPT-4 artificial intelligence model in Japan's physical therapy exam surprised medical professionals. It achieved a high accuracy rate.
OpenAI's powerful artificial intelligence language model GPT-4 successfully passed Japan's national physical therapy specialist exam without any additional training or special preparation. The success, which made a splash in the medical world, once again demonstrated GPT-4's capabilities and potential in different areas of knowledge. The findings of the study revealed that GPT-4 was quite effective in text-based questions, but it had certain limitations in technical and visual content questions. Here are the details...
The model performed very strongly on text-based questions, reaching an accuracy rate of 80.1%. However, the model’s accuracy rate dropped to 46.6% on questions that included technical details and were supported by visuals. Questions that included tables and pictures in particular were the areas where the model struggled the most; the accuracy rate on such questions remained at a low level of 35.4%.
These results show that despite GPT-4’s superior language processing capabilities, it has limitations on complex problems blended with visual data. Another interesting finding of the study is that GPT-4, despite being trained largely on English datasets, also achieved quite successful results on Japanese questions.
This also demonstrates the model’s multilingual capabilities and its ability to perform effectively in different languages. As a result, this success rate of GPT-4 is definitely an important step towards discovering the potential and limits of artificial intelligence in complex knowledge areas.
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.
OpenAI's powerful artificial intelligence language model GPT-4 successfully passed Japan's national physical therapy specialist exam without any additional training or special preparation. The success, which made a splash in the medical world, once again demonstrated GPT-4's capabilities and potential in different areas of knowledge. The findings of the study revealed that GPT-4 was quite effective in text-based questions, but it had certain limitations in technical and visual content questions. Here are the details...
GPT-4 took Japan's national physical therapy specialist exam: achieved a 73.4% success rate
Japan's national physical therapy specialist exam consists of a total of 200 questions, including 160 general knowledge questions and 40 practical questions. This exam tests participants' memory, comprehension, application, analysis and evaluation skills. The researchers loaded 1000 questions from this exam into GPT-4 and compared the model's answers with official answers. The results showed that GPT-4 answered 73.4% of these questions correctly.The model performed very strongly on text-based questions, reaching an accuracy rate of 80.1%. However, the model’s accuracy rate dropped to 46.6% on questions that included technical details and were supported by visuals. Questions that included tables and pictures in particular were the areas where the model struggled the most; the accuracy rate on such questions remained at a low level of 35.4%.
These results show that despite GPT-4’s superior language processing capabilities, it has limitations on complex problems blended with visual data. Another interesting finding of the study is that GPT-4, despite being trained largely on English datasets, also achieved quite successful results on Japanese questions.
This also demonstrates the model’s multilingual capabilities and its ability to perform effectively in different languages. As a result, this success rate of GPT-4 is definitely an important step towards discovering the potential and limits of artificial intelligence in complex knowledge areas.
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.
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