AI Agents
Autonomous AI systems that can perceive their environment, make decisions, and take actions to achieve specific goals, often using LLMs as their reasoning engine.
AI agents are autonomous systems that combine language models with tools, memory, and planning capabilities to accomplish complex tasks. Unlike simple chatbots that respond to individual prompts, agents can execute multi-step workflows.
Capabilities of AI agents:
- Tool Use: Calling APIs, browsing the web, running code
- Planning: Breaking down complex goals into subtasks
- Memory: Maintaining state across interactions
- Self-Correction: Learning from mistakes and retrying
- Multi-Agent Collaboration: Multiple agents working together
Notable agent frameworks include LangChain, AutoGPT, CrewAI, and OpenAI’s Assistants API. Agent applications range from automated research assistants and software engineers to customer support bots and trading systems. Agents represent a major shift from passive language models to active AI systems.
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