LLM Agents

LLM Agents are autonomous AI systems: they leverage a Large Language Model for reasoning, create multi-step plans, and execute tasks using external tools and memory.

LLM Agents represent a fundamental shift: moving AI from passive text generation to active, autonomous execution. Unlike simple chatbots, agents use a core architecture (planning module, memory, tools) to perform complex, multi-step workflows. They break down high-level objectives (e.g., ‘analyze Q3 sales data’) into actionable steps, query databases, run calculations, and distribute reports without human intervention. This agentic capability, first demonstrated in projects like AutoGPT, is driving significant enterprise adoption: spending on LLM technology reached an estimated $8.4 billion by mid-2025. Implementations often utilize frameworks like LangChain or LlamaIndex to manage the reasoning loop (Observe-Think-Act), delivering real-world business outcomes.

https://developer.nvidia.com/blog/introduction-to-llm-agents/