Definition·
LLM

LLM (Large Language Model)

An LLM is a large language model trained on massive text corpora, capable of understanding and generating natural language across many tasks: writing, summarization, translation, code, reasoning.

Detailed explanation

A Large Language Model is a deep neural network — typically a Transformer — with billions of parameters trained on huge text corpora. After pre-training, it predicts the next token of a sequence, which lets it perform extremely varied tasks via natural language prompts: writing, translation, summarization, code generation, reasoning. Reference models include GPT-4/5 (OpenAI), Claude (Anthropic), Gemini (Google), Llama (Meta), and Mistral. Their power is increased through prompt engineering, RAG, fine-tuning, and tools (agents).

Examples

Automatic email and report writing
Code generation and debugging assistance
Real-time multilingual translation
Customer chatbots and virtual assistants

Frequently asked questions

What is the difference between GPT, Claude, and Gemini?

They are all LLMs from different vendors (OpenAI, Anthropic, Google) with different training data, alignment, and strengths. The right choice depends on your use case, cost, and constraints.

Can an LLM hallucinate?

Yes. An LLM can produce plausible but false information. RAG, source citation, and human review reduce the risk.

Related terms

Last updated: 7/15/2026

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