Large Language Models (LLMs) are advanced artificial intelligence systems designed to process, understand, and generate text that resembles human language. They are trained on extensive datasets, which enables them to perform a variety of language-related tasks with high proficiency.

Key characteristics of LLMs include their massive scale, often containing billions of parameters that help them capture complex language patterns. They typically utilize self-attention mechanisms, particularly in transformer architectures, allowing them to consider context over long sequences of text. Additionally, LLMs can be fine-tuned for specific tasks after their initial pre-training, and they are capable of zero-shot and few-shot learning, meaning they can perform tasks with little or no specific training examples ¹.

LLMs have a wide range of applications, including text generation, where they create human-like text for various purposes, and they are increasingly being used in different domains due to their versatility and effectiveness ³.