We are thrilled to announce that a team of researchers from the University of Georgia and Mayo Clinic have explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. Their groundbreaking research found that OpenAI’s GPT-4 performed remarkably better than similar AI models regarding reasoning about biology!
In order to gauge how good these AI models were at understanding biology topics, the team designed a test with 108 questions about biology, comparing different AI models like GPT-4, GPT-3.5, PaLM2, Claude2, and SenseNova. Each model was presented with identical questions but with slight variations each time, in order to assess the models’ average performance and the consistency of their answers across multiple iterations.
The results were stunning, with GPT-4 obtaining an average score of 90 on the test questions and consistently providing reliable answers about biology topics. This suggests the potential utility of GPT-4 in studying biology or aiding educational endeavors in the field.
The study implies that these advanced AI models have numerous applications, such as assisting in education, creating learning tools, or even contributing to new ideas in biology. It also marks a significant step in bridging high-tech AI with the captivating realm of biology, and signifies AI’s pivotal role in exploring and understanding intricate biological concepts.
Looking ahead, the team aims to find ways to use GPT-4 in biology while ensuring its safety and affordability. They plan to leverage its capabilities to explore natural medicines and their functionalities, hoping to discover new approaches for developing improved medication, particularly for diseases like cancer.
We are absolutely enthralled by the team’s work, which highlights the potential synergy between AI and biology, showcasing possibilities for discoveries and enhanced understanding of the world around us. Make sure to check out their paper for all of the details – All credit for this research goes to the researchers of this project.
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