AI Glossary
Understand key artificial intelligence terms: AI Agent, RAG, MCP, OCR, LLM, Fine-tuning, AI Vision, AI Workflow.
Popular terms
Fundamentals
Artificial Intelligence (AI)
The simulation of human intelligence by machines, enabling them to perform tasks that typically require human cognition.
Deep Learning
Machine learning subfield using multi-layer neural networks to model complex concepts.
Machine Learning
AI discipline enabling systems to learn and improve from data without being explicitly programmed.
Generative AI
Generative AI
AI models that can create original content (text, images, code) from textual descriptions.
LLM (Large Language Model)
Massive language model trained on billions of texts, capable of understanding and generating natural language fluently.
Prompt Engineering
The discipline of designing and optimizing instructions given to AI models for accurate and reliable results.
Fine-tuning
The process of adapting a pre-trained AI model to a specific domain or task by continuing training on targeted data.
Search & Retrieval
RAG (Retrieval-Augmented Generation)
Technique combining information retrieval from a knowledge base with LLM-powered response generation.
Embeddings
Dense vector representation of text that captures semantic meaning, used for similarity search.
Vector Database
Database specialized in storing and searching vectors (embeddings) for large-scale semantic search.
AI Agents
AI Agent
Autonomous program that perceives its environment, reasons, and acts to achieve defined goals.
Autonomous Agent
AI agent capable of operating without human intervention, with feedback loops and self-correction.
MCP (Model Context Protocol)
Open protocol enabling AI models to interact with external tools and APIs in a standardized way.
AI Assistant
Intelligent agent designed to assist employees in daily tasks by automating repetitive actions.