// AI Glossary A–Z

Every AI term, defined.

A living dictionary of 109 AI concepts — from foundational terms to cutting-edge techniques. Search or browse alphabetically.

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CONCEPT
Hugging Face
Hugging Face is the leading open-source AI platform — a hub where researchers and developers…
CONCEPT
Human in the Loop
Human in the Loop (HITL) is an AI design approach where a human remains involved…
CONCEPT
Hyperparameter
A hyperparameter is a configuration setting fixed before training begins — not learned from data.…
CONCEPT
Image Recognition
Image recognition is the AI task of identifying what is in an image and assigning…
CONCEPT
Image Segmentation
Image segmentation labels every pixel in an image with its object class — not just…
CONCEPT
Inference
Inference is using a trained model to make predictions on new data. Training happens once…
CONCEPT
Intelligent Agent
An intelligent agent is any system that perceives its environment and takes actions to achieve…
CONCEPT
Jupyter Notebook
A Jupyter Notebook is an interactive document where you write code, run it immediately, see…
CONCEPT
K-Means Clustering
K-Means is the most widely used clustering algorithm. You tell it K — how many…
CONCEPT
KNN (K-Nearest Neighbours)
KNN (K-Nearest Neighbours) classifies a new data point by finding the K most similar points…
CONCEPT
Knowledge Distillation
Knowledge distillation trains a small student model to mimic a large teacher model — not…
CONCEPT
Knowledge Graph
A knowledge graph is a structured network of real-world entities and the relationships between them…
CONCEPT
LangChain
LangChain is an open-source Python framework for building applications with large language models. It provides…
CONCEPT
Large Language Model (LLM)
A Large Language Model (LLM) is a neural network trained on trillions of words that…
CONCEPT
Latent Space
Latent space is the compressed internal representation a neural network learns for its data —…
CONCEPT
Learning Rate
The learning rate controls how large each weight update step is during gradient descent. Too…
CONCEPT
LoRA (Low-Rank Adaptation)
LoRA (Low-Rank Adaptation) fine-tunes large models by adding tiny trainable adapter layers instead of updating…
CONCEPT
Loss Function
A loss function measures how wrong a model’s prediction is compared to the correct answer.…
CONCEPT
Machine Learning
Machine learning is a branch of AI where systems learn from data rather than being…
CONCEPT
Markov Decision Process (MDP)
A Markov Decision Process (MDP) is the mathematical framework that describes any sequential decision problem…
CONCEPT
MLOps
MLOps (Machine Learning Operations) is the discipline of deploying, monitoring, and maintaining ML models in…
CONCEPT
Multi-Agent System
A multi-agent system is an AI architecture where multiple autonomous agents collaborate on tasks —…
CONCEPT
Multimodal AI
Multimodal AI processes multiple types of data — text, images, audio, video — within a…
CONCEPT
Naive Bayes
Naive Bayes is a simple probabilistic classifier that calculates the probability of each class using…
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