Generative AI Generative AI is a technology that creates content such as text, images, audio, and video based on user input (the prompt). Generative AI operates using a model as its engine, which is created by applying machine learning techniques to vast amounts of data. In widely used commercial generative AI tools, users typically interact with these models through a chat interface. Natural Language Processing (NLP) Natural Language Processing (NLP) as a field utilizes computers to understand, interpret, and generate human language (text or speech). There are various types of NLP tasks, including syntactic analysis (parsing), machine translation, named entity recognition, and speech recognition. The functionality performed by generative AI like chatbots—generating natural, contextually appropriate text by learning massive amounts of text data—can also be understood as an example of natural language processing. Large Language Model (LLM) A Large Language Model (LLM) is an artificial intelligence model that learns to interpret or generate text by training on vast amounts of text data. As the core technology of generative AI, an LLM typically utilizes an artificial neural network with billions of parameters (connection weights) to learn complex patterns between words within sentences. For example, it analyzes context to complete Generative AI Guide for Civil Society