Textual Alchemy
Gagan Deep, Jyoti Verma · Advances in computational intelligence and robotics book series · 2023
This chapter explores the transformative potential of generative models for advanced text generation, focusing on leveraging structural equation modeling techniques. With the rapid advancements in deep learning and natural language processing, generative models have emerged as powerful tools for creative writing, semantic coherence, and contextual understanding. This chapter provides a comprehensive overview of the foundations, methodologies, and applications of generative models in text generation. The chapter begins with an introduction to the evolution of generative models and highlights their significance in various domains. It lays the groundwork by explaining language modeling techniques and the architectures employed in text generation using deep learning algorithms. The subsequent sections delve into the core aspects of generative models for text generation.