📖 AI Glossary

Computer vision is an AI field that understands images and videos. It corresponds to the eyes of face recognition, defect detection, and autonomous driving.

A context window is the amount of content an AI model can remember and refer to within a single conversation.

This program automatically collects data from the web. This is a key issue in copyright disputes surrounding AI learning data collection.

A development platform for NVIDIA GPUs. It is considered a key weapon in NVIDIA's dominance in the AI developer ecosystem.

A cutoff is the point where an AI model’s training data ends, so it may not know later events, prices, or news.

Data Center is a facility with tens of thousands of servers and is the physical basis for AI learning and services. Power and cooling issues have become hot topics in the AI era.

Data labeling is the task of attaching a correct answer mark to the learning data. It's also a large, manual industry behind AI.

Dataset is a bundle of data used for AI learning. Quality and scale determine AI performance and are at the center of copyright debates.

Deep learning is a machine learning technique that uses layered artificial neural networks inspired by the human brain.

Deepfake is fake content that synthesizes the faces and voices of real people using AI. It has become a tool for fraud and disinformation and is subject to regulation.

This method runs AI directly on field devices (cameras, sensors, factory equipment) rather than on a server.

Embedding is a technology that converts the meaning of text into a numeric vector. Sentences with similar meanings have close numbers, which becomes the basis for AI search.

EU AI law is the world's first comprehensive AI regulation law. AI is regulated by dividing it into levels according to risk, and is becoming a global standard.

Expert mix is a structure where the inside of the model is divided into several experts and only some of them are activated for each question. It is used as a secret to providing great performance at low cost.

Fabless is a type of company that only designs semiconductors without a factory. NVIDIA and FuriosaAI fall into this category.

The method is to show them a few examples of the desired answer and then have them do the work. This is especially effective when formatting your answers.

Fine-tuning is the process of further training an existing AI model on task-specific data so it performs better in a particular domain.

Foundation model is a general-purpose AI model that is learned once and used for various purposes. It becomes the foundation on which various services are built.

Foundry is a business that receives blueprints and produces semiconductors on its behalf. TSMC is overwhelmingly in first place, with Samsung Electronics chasing after it.

This refers to AI that creates new content such as text, images, sounds, and videos.