What does text generation in Generative AI refer to?

Text generation in Generative AI refers to the ability of AI systems to produce human-like written content. This capability allows these systems to understand and generate text that resembles natural language, making it relevant and contextually appropriate for a variety of applications, including storytelling, creative writing, chatbots, and more.

This phenomenon relies on sophisticated machine learning techniques, particularly deep learning models like transformers, which are trained on vast amounts of text data. The training enables the AI to learn patterns in language, grammar, and semantics, allowing it to generate coherent and contextually relevant responses or narratives.

While creating images, manipulating existing texts, and summarizing information are important functions of AI, they pertain to different aspects of generative capabilities. Text generation specifically focuses on crafting original written content rather than just altering or condensing existing material.