Large Language Model (LLM)

Large Language Models (LLMs) are transformer-based neural networks: they process massive text datasets (trillions of tokens) to generate, summarize, and translate human-quality content, powering systems like GPT-4 and Gemini.

LLMs are deep learning models, specifically utilizing the Transformer architecture, scaled for complex natural language processing (NLP) tasks. They are pre-trained via self-supervised learning on immense, diverse text corpora (e.g., Common Crawl), often containing billions to trillions of parameters. This massive scale allows the model to function as a sophisticated statistical predictor, generating coherent, contextually relevant text by predicting the next token in a sequence. Key applications include advanced conversational agents (ChatGPT), code generation, document summarization, and machine translation, fundamentally reshaping how we interact with information and automate workflows.

https://en.wikipedia.org/wiki/Large_language_model