From Turing to Transformers: A Comprehensive Review and Tutorial on the Evolution and Applications of Generative Transformer Models

Generative transformers have revolutionized the realm of artificial intelligence, particularly in the domain of natural language processing. This paper embarks on a historical journey, tracing the roots of computational theory with Alan Turing and culminating in the sophisticated generative transformer architectures of today. Through a blend of review, history, and tutorial, we aim to provide a holistic understanding of these models, emphasizing their significance, underlying mechanisms, and vast applications. The tutorial segment offers a hands-on approach, guiding readers through the intricacies of building a basic generative transformer model. As we navigate this transformative landscape, we also shed light on challenges, ethical considerations, and future prospects in the world of generative models.