The Language of Artificial Intelligence: Explaining the Most Important Concepts

The rapid spread of artificial intelligence has brought along a multitude of new concepts and slang. We have compiled an overview of the most important terms you encounter in the AI world.

The development of artificial intelligence in recent years has brought a flood of new concepts, many of which people nod along to with a knowing face, even if the exact meaning is not entirely clear. This overview will help clarify the most frequently used terms.

Basic Concepts to Know

Large Language Model (LLM) is an artificial intelligence system that has been trained on a vast corpus of text and can understand and generate text. Such models are used by, for example, ChatGPT, Gemini, and Claude.

Prompting means providing instructions or questions to artificial intelligence. A good prompt gives AI precise context and a clear task, which has led to the emergence of its own profession called "prompt engineer."

Hallucination refers to a situation where artificial intelligence confidently presents false information. For example, AI can invent non-existent scientific articles or dates, doing so in a completely convincing manner.

More Popular AI Slang Expressions

RAG (Retrieval-Augmented Generation) is a technique where the model searches for additional information from an external database before generating an answer – this reduces hallucinations.

Fine-tuning means the additional adjustment of a previously trained model for a specific task or field. For example, a general language model can be specialized for processing medical texts.

Agents (AI agents) are artificial intelligence systems that can independently plan and complete multi-step tasks, using various tools and APIs in the process.

Context window is the maximum amount of text that a model can fit into its "memory" at once and within which it can process information. The larger the context window, the longer documents AI can analyze at once.

Knowing these concepts helps you participate in discussions related to artificial intelligence and make smarter decisions when using AI tools both at work and in everyday life.