Generative AI refers to a category of artificial intelligence models that are designed to generate new, previously unseen content. This content can range from text, images, videos, to audio and more. The primary attribute of generative AI models is their ability to create rather than simply analyze or categorize existing data. They can "imagine" and produce new pieces of content based on their training data. LLMs fall under the umbrella of generative AI, making them a subset of this broader category. While all LLMs are generative AI models, not all generative AI models are LLMs. For instance, models designed to create images or music are generative AI but are not language models. LLMs specifically focus on understanding and generating human-like text. Their training on vast amounts of textual data enables them to learn the intricacies and nuances of human language. By leveraging patterns they've detected in their training data, LLMs can generate coherent and contextually relevant text passages, sentences, or even entire articles. In contrast, other forms of generative AI might be trained on visual data to generate new images or on audio data to produce new pieces of music. The underlying principle is similar: these models learn from their training data and then generate new content based on patterns they've recognized.