The article describes the development of a mobile application that uses artificial intelligence to generate texts and images for educational purposes, as well as the principles of GPT operation and an overview of diffusion models used in generative AI, with DALL-E as an example. The main goal of creating the mobile application is to integrate such technologies into school subjects such as biology, history, foreign languages, computer science, and others. The study employs transformer models and hierarchical image generation. The results demonstrate successful text and image generation. The advantages and prospects of applying this technology in education are discussed.
| Mualliflar | Ибрагимов, Диёрбек, Абдуллаев, Темурбек |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-05-20 |
| Son | 2 |
| Betlar | 7-14 |
| Til | Rus |
мобильные приложения, искусственный интеллект, генерация текста и изображений, образовательный процесс, GPT, DALL-E, CLIP, unCLIP, диффузионные модели, трансформер, mobile application, artificial intelligence, text and image generation, educational process, GPT, DALL-E, CLIP, unCLIP, diffusion models, transformer, mobil ilova, sun’iy intellekt, matn va tasvir generatsiyasi, ta’lim jarayoni, GPT, DALL-E, CLIP, unCLIP, diffuzion modellar, transformer
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