In recent years, large language models (LLMs) have made significant progress in commonsense reasoning capabilities. This article focuses on the performance of Google’s Gemini Pro model in common sense reasoning tasks and compares it with other leading models. Research results show that Gemini Pro even surpasses GPT-3.5 on some specific tasks, and demonstrated its advanced reasoning mechanism in comparative experiments with GPT-4 Turbo.
Gemini Pro shows strong promise in common sense reasoning, with new research challenging previous assessments. On par with GPT-3.5, Gemini Pro slightly outperforms on specific tasks. Inference experiments show that Gemini Pro and GPT-4Turbo exhibit advanced inference mechanisms on both correct and incorrect answers.
All in all, Gemini Pro demonstrates impressive performance in the field of common sense reasoning, providing new directions and possibilities for the development of future artificial intelligence. Its comparative analysis with other advanced models also provides a valuable reference for us to better understand and evaluate the ability of large language models. Further research will help reveal more fully the advantages and limitations of Gemini Pro.