Large Language Model(LLM)
A neural network trained on vast text data to understand and generate human language.
A Large Language Model is a neural network with billions to trillions of parameters trained on enormous text corpora. LLMs power modern AI applications: ChatGPT, Claude, Gemini, Llama, and others. LLMs can write, summarize, translate, answer questions, write code, and reason about complex problems.
Different LLMs have different strengths. Frontier models (Claude Opus, GPT-5, Gemini Ultra) excel at complex reasoning. Smaller open-source models can run on local hardware and offer privacy advantages. Choice depends on the task, cost, latency, and privacy requirements.
A SaaS company uses Claude API to power their support assistant — it answers customer questions by reasoning over the company's documentation, with response quality on par with senior support staff.
Related terms
An AI system that can autonomously plan and execute multi-step tasks to achieve a goal.
A technique that combines LLMs with retrieval of external information to ground responses in facts.
The practice of crafting effective inputs to AI models to produce desired outputs.
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