Applications
Plugins / Tools
AI plugins and tools extend language model capabilities beyond text generation by enabling actions: web search, code execution, database queries, API calls, and file manipulation. OpenAI's function calling, Anthropic's tool use, and plugins ecosystems all implement this capability.
Tool-augmented LLMs are the foundation of AI agents that can accomplish multi-step tasks autonomously. The model decides which tools to call, interprets their outputs, and chains multiple tool uses to complete complex workflows.
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Related Terms
Applications
AI Agents
AI systems that combine a language model with tools, memory, and planning to autonomously execute multi-step tasks — observing outcomes, deciding next actions, and iterating until a goal is reached.
Model Components
API (Application Programming Interface)
Interface that allows software applications to communicate and share functionality with each other.
Core Concepts
Autonomous
Machines capable of performing tasks and making decisions without human intervention.
Techniques & Methods
Retrieval Augmented Generation (RAG)
An inference-time architecture that retrieves relevant documents from a knowledge base or web index and injects them into a language model's context before generation, grounding answers in real source material.