AI Tools Glossary 2026: Every Term You Actually Need to Know
A-to-Z reference of AI, ML, and agent terminology. Clear definitions for LLMs, RAG, diffusion, embeddings, tokens, XAI, and 60+ more terms.
Tag
15 articles tagged explainer. Browse the full blog.
A-to-Z reference of AI, ML, and agent terminology. Clear definitions for LLMs, RAG, diffusion, embeddings, tokens, XAI, and 60+ more terms.
A practical guide to choosing between dynamic AI agents and deterministic workflows, grounded in Anthropic's framing on when each model is the right fit.
A plain-English explainer of MCP (Model Context Protocol): what it is, how the architecture works, which servers are worth using, and where the standard.
What separates an AI agent from a chatbot, and why everyone's talking about them in 2026. Plain-English explainer with examples.
The terminology is a mess. Here's a clear breakdown of what separates an AI agent from an assistant from a copilot, with real product examples.
A plain-English guide to agentic workflows: what they are, how they differ from traditional automation, the patterns that matter, and when to actually use them.
What context windows are, current sizes across Claude, GPT-5, and Gemini, and how agents manage long context. Plain-English guide for 2026.
A clear breakdown of tool calling in LLMs: what it is, how JSON schema works, how structured outputs work, and why function calling is what separates a.
A deep dive into the ReAct pattern (Reason + Act): the foundational LLM agent loop that powers most production AI agents, how it differs from.
RAG fetches knowledge. Agents take action. This guide explains the real difference, when each approach fits, and how agentic RAG combines them for harder.
A technical-but-accessible breakdown of how AI agents reason, plan, use tools, and remember things. From the basic loop to ReAct and real-world examples.
Function calling and MCP both let AI models use tools, but they solve different problems at different layers. This guide explains the real differences and.
LLMs generate text. Agents act on the world. This guide explains the real architectural difference, when each is the right tool, and how they work together.
AI agents and chatbots are not the same thing. This guide breaks down how they work, where each one fits, and how to choose the right tool for your situation.
A deep dive into how AI agents remember things: short-term context windows, long-term storage, episodic vs semantic memory, vector databases, and.