Artificial Intelligence (AI)
A discipline that designs systems capable of learning, reasoning, and making decisions autonomously.
Glossary
Over 30 AI terms explained: from models (GPT, Claude, Gemini) to techniques (RAG, fine-tuning, embedding), and themes of ethics and safety.
Machine Learning
A set of techniques that allow systems to learn from data without being explicitly programmed.
Deep Learning
A subfield of machine learning based on multi-layered deep neural networks.
LLM (Large Language Model)
Large-scale language model trained on billions of words to understand and generate text.
GPT (Generative Pre-trained Transformer)
OpenAI family of LLMs that generates coherent text starting from a prompt.
Transformer
Neural network architecture that has revolutionized AI, serving as the foundation for GPT, BERT, Claude, and Gemini.
Prompt Engineering
The art of writing effective instructions to get the most out of AI models.
RAG (Retrieval-Augmented Generation)
A technique that combines LLMs and document databases for responses based on corporate sources.
Fine-tuning
Process of specializing an AI model on domain-specific data.
Embedding
Numerical representation of text, images, or audio in a vector space.
Vector Database
A database optimized for storing and searching embeddings at high speed.
AI Agent
Autonomous AI system that reasons, plans, and uses tools to complete complex tasks.
Computer Vision
A branch of AI that allows computers to interpret images and videos.
NLP (Natural Language Processing)
A discipline dedicated to the automatic processing of human language.
Generative AI
A category of models that create new content: text, images, audio, video, code.
Diffusion Model
Generative architecture behind DALL·E, Stable Diffusion, and Midjourney.
Neural Network
A computational model inspired by the human brain, formed by connected artificial neurons.
Function Calling
Capability of an LLM to invoke external functions (APIs, code) to perform real actions.
AI Automation
The use of AI to perform repetitive processes without human intervention.
Predictive Analytics
Use of ML models to predict future events based on historical data.
Hallucination (AI)
A phenomenon where an LLM generates false but plausible-sounding information.
AI Safety
Discipline that studies how to make AI systems reliable, secure, and aligned with human values.
Deepfake
Audio or video content manipulated with AI to impersonate real people.
Voice Cloning
AI technology that reproduces a person's voice starting from short audio samples.
OpenAI
American company creator of GPT, ChatGPT, DALL·E, and Sora.
Anthropic
AI company founded by former OpenAI members, creator of the Claude family.
Hugging Face
Reference open-source platform for community-shared AI models.
Edge AI
Execution of AI models directly on the device instead of in the cloud.
MLOps
A set of practices to bring ML models to production and keep them reliable.
AI Bias
Systematic prejudices that a model learns from its training data.