Text generation is the task of automatically generating coherent and contextually relevant text based on a given prompt or input using natural language processing (NLP) and machine learning techniques. It involves training language models, such as recurrent neural networks (RNNs) and transformers, on large corpora of text data to learn patterns, structures, and semantics of natural language, and generating new text based on learned representations. Readers can explore text generation models, architectures, and applications, such as language modeling, chatbots, and content generation, understanding their capabilities and limitations in generating human-like text and narratives.

Text Generation