Tool-Use
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Tool Use (in Language Models)
The capability of a language model to invoke external tools: APIs, code execution, retrieval, computation: and …Model Context Protocol (MCP)
An open protocol that standardises how language models connect to tools, data sources, and external systems …Function Calling
Structured tool invocation by language models: how the model emits typed function calls, how runtimes execute …Agentic RAG
Retrieval-Augmented Generation systems in which the language model actively plans, queries, critiques, and …Tool Use Pattern - Function Calling for AI Agents
Enabling LLMs to invoke external tools and APIs through function calling, extending model capabilities beyond …ReAct Pattern - Reasoning and Acting in AI Agents
The ReAct pattern interleaves chain-of-thought reasoning with tool actions, enabling AI agents to think before …AI Agent
What AI agents are, how they autonomously plan and execute tasks, and the architectural patterns that …Model Context Protocol (MCP) - Universal Tool Interface for AI Agents
What the Model Context Protocol is, how it enables AI agents to use tools through a standard interface, and …Amazon Bedrock AgentCore - Serverless AI Agent Hosting
How Amazon Bedrock AgentCore provides managed infrastructure for running AI agents at scale without managing …AI Agents - Autonomous Task Execution
What AI agents are, how they differ from simple LLM calls, the key design patterns, and what makes agents fail …Agentic Workflow Patterns - From Simple Chains to Complex Orchestration
Chain, router, parallel, hierarchical, and loop patterns for AI agents. When to use each, error handling, and …Agentic AI
What makes AI agentic vs assistive, autonomous task execution, tool use, planning capabilities, and current …
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