📖 AI Glossary

This refers to the seven major tech companies that lead the U.S. stock market (Apple, Microsoft, Google, Amazon, NVIDIA, Meta, and Tesla). These are the main players in the AI boom.

MCP is a protocol that standardizes how AI connects to external tools and data. It is likened to the USB standard for the AI agent ecosystem.

Model lightweight is a technology that reduces large AI models to smaller ones with minimal performance loss. This is a prerequisite for on-device AI.

Multi agent is a method where multiple AI agents share roles and collaborate. It divides the reviewer, writer, and verifier.

This refers to AI that understands and handles not only text but also various types of input such as images, voices, and videos.

Natural language processing is an AI field that allows computers to understand and generate human language. LLM is the latest achievement in this field.

No code is a method of creating apps or automation simply by manipulating the screen without coding. Combined with AI, it is leading a development boom for non-developers.

An NPU is a semiconductor designed specifically for AI computation and is important for on-device AI in smartphones and laptops.

OCR is a technology that reads letters in an image and turns them into text. It is the basis for receipt and document scanning processing.

On-device AI is AI that runs directly on smartphones and PCs without the internet. The advantage is that personal information does not leave the device.

As opposed to the cloud, it is installed and operated directly on your own server. Security-critical organizations choose to adopt AI.

An open-source model is an AI model released so that others can download, inspect, modify, or run it themselves.

Open weight is an AI model that makes the model's weight file public so that anyone can download and use it. Representative examples include Llama and DeepSeek.

Parameters are the internal values of an AI model and are often used as a rough indicator of model size.

This refers to AI that moves beyond the screen and into the physical world such as robots and vehicles. It became popular as NVIDIA promoted it as a next-generation keyword.

Pre-learning is the first step in AI training to learn the basics of language with large amounts of text. Afterwards, it is refined to suit the purpose through fine tuning.

A prompt is the question, instruction, or context given to an AI model. Better prompts usually lead to better answers.

Prompt engineering is a technology that designs instructions given to AI to obtain the desired answer.

Prompt Injection is an attack technique that manipulates AI using instructions secretly planted in documents or web pages. It is a representative security threat in the AI agent era.

Quant refers to investment strategies or systems that trade mechanically by analyzing market data with mathematical and statistical models.