Large Language Model (LLM)

A Large Language Model (LLM) is a neural network model trained on vast amounts of text data, capable of understanding and generating human-like text. These models use the transformer architecture and are trained with billions of parameters.

Notable LLMs include OpenAI’s GPT-4 and GPT-4o, Anthropic’s Claude, Google’s Gemini, and Meta’s LLaMA. LLMs can perform a wide range of language tasks including translation, summarization, question answering, code generation, and creative writing.

Key concepts in modern LLMs include context windows (the amount of text the model can consider at once), tokens (the basic unit of text processing), and temperature (controlling randomness in outputs).