Definition
Large Language Model (LLM)
A neural network trained on vast amounts of text data that can understand and generate human language, serving as the reasoning engine for AI agents.
In Depth
Large language models are the brains of AI agents. Trained on billions of tokens of text, they develop broad capabilities: reasoning, coding, analysis, conversation, and more. In agent systems, the LLM serves as the decision-making engine — interpreting observations, planning next steps, generating tool calls, and producing final outputs. Different LLMs offer different tradeoffs of capability, speed, and cost. Agent architectures often use multiple models: a powerful model for complex reasoning and a fast model for simple routing decisions.
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