Creating quizzes for students can be a time-consuming task for educators. What if AI could step in and lighten the load? Recent research has explored this possibility, focusing on automatically generating quizzes from Turkish educational texts. This is a big step forward in making educational technology more inclusive and accessible, especially for languages other than English. The researchers created a dataset of Turkish educational texts and then used several Large Language Models (LLMs), like GPT and Llama 2, to generate different types of quiz questions, both multiple-choice and short-answer. Initially, the LLMs struggled to grasp the nuances of the Turkish language and create effective quiz questions. They were fine-tuned using a newly created dataset called "Turkish-Quiz-Instruct," which greatly improved their ability to generate coherent and relevant questions. The fine-tuning process involved training the LLMs on a massive dataset of Turkish educational content, allowing them to learn the specific patterns and structures of the language. The results were impressive, with the fine-tuned models showing a marked improvement in generating high-quality Turkish quiz questions from the given educational material. This research shows how LLMs can be adapted to different languages and specific fields, like education. It also highlights the importance of creating high-quality, language-specific datasets to make the most of AI’s potential. This opens exciting new possibilities for educators in Turkey, giving them a powerful tool to quickly create engaging and effective quizzes. While there’s still work to be done, this research shows a promising future for automated quiz generation in many different languages, allowing teachers to dedicate more time to actually teaching.