Imagine sitting for a medical exam after years of studying, and you’re not even a human. That’s what’s happening in the world of AI, where language models are being tested on their ability to pass a medical exam. A Reddit user, /u/sebastianmicu24, shared an experiment where they put various Large Language Models (LLMs) to the test on an Italian medical exam dataset.
The results are fascinating. The human average score is around 67%, but some LLMs are performing remarkably well. The best model scored an impressive 94%, which is even better than the top human student!
But what’s even more interesting is how these models performed when they were intentionally misled. The user tested their ‘sycophancy’ by telling them that a wrong answer was correct. This is a clever way to evaluate how well these models can think for themselves.
The test also highlights the importance of multimodal models, which can handle images and text, versus those that only work with text. The user plans to add more models to the test, including smaller ones that can run locally on a 6GB RTX 3060.
This experiment raises important questions about the potential of AI in healthcare and education. Can these models really help students learn more effectively? And how can we ensure they’re not just memorizing answers?
What do you think? Should AI models be used to assist in medical education, or is there a risk of over-reliance on technology?