LLM (Large Language Model)
LLM is the abbreviation for Large Language Model. It is an advanced artificial intelligence program trained on an enormous quantity of textual data so that it understands human language and can use it. Its main job is to process and generate text in a way that is natural and meaningful to a human. Thanks to its extensive training it learns grammar, facts, various writing styles and the logical connections between words, which enables it to answer questions, translate or compose new texts.
Put simply, an LLM is like an extraordinarily well-read assistant who has read nearly everything ever written on the internet. When you put a question to it, it does not merely look up keywords but tries to grasp the context and sense of your query. On that basis it then formulates an answer by statistically estimating which word should logically follow the previous one. This is what allows it to hold a fluent conversation, explain complex concepts, or produce texts that feel as though a person wrote them.
LLM (Large Language Model)
Technical definition: An LLM (Large Language Model) is a class of artificial intelligence model, specifically a deep neural network, designed for natural language processing (NLP). It is characterised by an enormous number of parameters (weights), often on the order of billions to trillions, and by training on massive text corpora. Most modern LLMs are based on the transformer architecture, which uses the attention mechanism to capture contextual relationships between words efficiently. The models are typically trained by self-supervised methods (predicting the next word, for instance), which lets them learn complex representations of language. These learned abilities can then be specialised for particular tasks through a process called fine-tuning.
Etymology and context: The abbreviation LLM comes from the English phrase Large Language Model. The qualifier “large” refers to the exponential growth in model size (number of parameters) and in the volume of training data that has defined this class of models since roughly 2018. That shift was made possible by the ground-breaking transformer architecture (2017). LLMs such as those in the GPT (Generative Pre-trained Transformer) family represent a major advance in artificial intelligence and are the foundation of modern conversational agents, chatbots and advanced tools for automating work with text.