AI Wiki

Edge AI

In Edge AI, "edge" doesn't mean being marginalized—it refers to devices and network locations close to where data is generated.

GEO

Generative Engine Optimization

GEO stands for Generative Engine Optimization. It's a new term that emerged after SEO, focused not on where a web page ranks in traditional search results, but on whether your content, brand, or viewpoint can be cited, understood, and recommended by AI search, chat assistants, and generative answers.

Fine-tuning

In an AI context, fine-tuning refers to continuing to train an existing base model with additional data, so the model better fits a certain kind of task, format, style, or domain.

AI Workflow

An AI workflow is a process that strings together multiple AI steps, tools, and human-confirmation points. It doesn't have to be complex—it can start with a small flow like "receive an email, automatically summarize the content, generate a draft reply, and have a person confirm before sending."

Model Routing

As the number of available models grows, one question becomes obvious: which model should I use? Some models are good at reasoning, some are cheap, some are fast, some support images, some have a long context window, and some are more stable in certain regions or at certain times. Model routing exists to serve this question.

AI Gateway

An AI gateway is common infrastructure when enterprises and teams use multiple models. It usually sits between applications and models, uniformly managing access, permissions, cost, security, logging, and routing.

Inference

Inference is easily misunderstood as referring only to complex logical reasoning. In fact, in a machine learning context it's broader: it refers to using an already-trained model to produce predictions, classifications, generations, or decisions for new inputs.

A2A

Agent2Agent

A2A stands for Agent2Agent. In an AI context, it usually refers to a class of protocols or mechanisms that let different agents discover, communicate with, collaborate with, and hand off tasks to one another.

Tool Calling

Tool Calling is also often called Function Calling. It's the mechanism that lets a large language model request help from external tools, and it's an important foundation for an Agent to execute tasks.

Local Model

When you normally use ChatGPT, Claude, or Gemini, you're mostly calling the model in the cloud. The user's question is sent to the provider's servers, and the cloud model computes and returns the answer.

MCP

Model Context Protocol

MCP stands for Model Context Protocol. It's an open protocol that lets AI applications connect to external tools and data sources.

VPN

Virtual Private Network

VPN stands for Virtual Private Network. It isn't an AI-specific term, but you'll often run into it when using AI tools, APIs, relays, local services, and enterprise systems.