What are Large Language Models (LLMs)? 

Large Language Models (LLMs) are advanced AI systems built using transformer architecture. They represent a significant advancement in natural language processing (NLP), which focuses on enabling computers to understand, interpret, and generate human-like language.

These models are trained on vast amounts of text data, allowing them to learn the nuances of language – including grammar, syntax, and context. As a result, they can perform a wide range of language-related tasks, such as translating text, summarizing documents, answering questions, and generating coherent text on a given topic. The "large" in LLMs refers to the substantial size of the models, which can have many billions of parameters, and the extensive datasets used to train them.