Term
LLM
LLM stands for Large Language Model — a neural network trained on large volumes of text to interpret and generate natural language.
LLM — explained in more detail
A Large Language Model is a neural network trained on very large text corpora that can both interpret and generate natural language. The mechanism boils down to one core idea: predicting the next token from the preceding context. From this simple loop emerge the familiar capabilities — answering questions, translating, summarising, generating code.
Example / context
Well-known examples include OpenAI’s GPT family, Anthropic’s Claude, Google’s Gemini, and open-weight models such as Meta’s Llama or those from Mistral. They differ in size, training data, licensing and strengths — but the underlying principle is the same.
Distinction from similar terms
LLMs are a subclass of language models. Classic pre-transformer language models were much smaller and tuned for narrower tasks. Multimodal models extend the concept to images, audio or video — yet at their core they still rely on the same token-prediction mechanism.
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