Learn the language of automation.
A simple guide to the terms we use every day. Clear explanations to help you understand how the technology works.
AI Alignment
The field of ensuring AI systems do what humans actually want them to do.
AI Analytics
Measuring how an AI system performs so you can improve quality, cost, and safety.
AI Decision Making
Using models to choose or recommend actions based on data and goals.
AI Engine
The core service or model that powers AI features behind the scenes.
AI Governance
Policies, processes, and oversight that guide how AI is built and used.
AI Inference
Running a trained model to get an output for a real request.
AI Monitoring
Watching model quality, cost, and safety in production so you can react fast.
AI Security
Protecting models, data, and outputs from abuse, leaks, and tampering.
AI System
All the pieces that make an AI feature work: models, data, tools, and guardrails together.
Algorithmic Bias
When AI creates unfair outcomes because of prejudices in its training data.
Artificial General Intelligence (AGI)
A hypothetical AI that can learn and solve any intellectual task a human can.