Evaluating large language models` proficiency in answering arabic gat exam questions

HIGHLIGHTS

  • What: Given the need for effective preparation tools this study investigates the potential of chat generative pre-trained transformers to assist students in preparing for the GAT especially in Arabic. The aim is to assess the effectiveness of Large Language Models (LLMs) in answering questions related to mental and logical abilities specifically in Arabic. This aligns with the objective of this study of leveraging LLMs to help students prepare for standardized exams, such as the Saudi GAT. The experiments were designed to assess the accuracy and quality of the responses of each model in various scenarios.
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