Modely GPT a jejich využití v moderních technologiích a aplikacích

This thesis explores the capabilities, applications, and impact of Generative Pre-trained Transformer (GPT) models, with a particular emphasis on their potential within software development. It begins with a theoretical foundation, examining the evolution of GPT models and the transformer architecture that underpins their ability to generate human-quality text. A comparative analysis highlights the distinctions and ongoing advancements among various GPT iterations and similar architectures. The thesis also delves into the wide-ranging applications of GPT models, along with a discussion of the ethical considerations and societal impacts they raise. To demonstrate the practical utility of GPT models, this thesis details a case study in which a GPT model is integrated into a software development workflow. The project's implementation, execution, and results are evaluated, offering insights into potential benefits and future use cases. The "Concept Explorer" application is presented as an example, showcasing the application of GPT models for concept explanation and translation. The thesis concludes with a synthesis of theoretical concepts and practical findings, emphasizing key takeaways and suggesting potential areas for future research into GPT models' role in software development.