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LLM (large language model)

Definition: An LLM (Large Language Model) is an AI model trained on vast text corpora to understand and generate language.

From this ability emerge writing, reasoning, code and tool use. Claude, GPT, Gemini and Mistral are LLMs.

Frequently asked questions

What is the difference between an LLM and Claude?

Claude is an LLM built by Anthropic. "LLM" names the category of models; Claude (Opus, Sonnet, Haiku) is one implementation, just like GPT (OpenAI) or Gemini (Google).

Does an LLM really understand text?

It predicts the most likely next token from patterns learned over vast corpora. That yields highly relevant answers, but it is not human-like understanding — hence hallucinations can occur.

How many parameters does an LLM have?

From a few billion to several hundred billion. But "more parameters" isn't always "better": data quality and training matter as much as raw size.

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See also

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