AI Glossary

We aim to maintain simplicity in our communication, but you may encounter unfamiliar AI business or industry terms. If ever in doubt, refer to our glossary for clarification
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Categories

AI Algorithms and Methods

Activation Function
Agentic AI
Algorithm
Attention Mechanism
Attention Pooling
AutoML (Automated Machine Learning)
Backpropagation
Bandit Algorithm
Classification
Clustering
Deep Q Network (DQN)
Dimensionality Reduction
Evolutionary Algorithms
Feature Engineering
Feature Extraction
Few-Shot Learning
Gradient Descent
Hyperparameter
Knowledge Distillation
Loss Function
Markov Decision Process (MDP)
Multi-Task Learning
Open-Source Algorithm
Optimization
Policy Gradient
Prompt Engineering
Q-learning
RAG (Retrieval-Augmented Generation)
Regression
Zero-Shot Learning

AI Data Handling and Management

Annotation
Bag of Words (BoW)
Benchmarking
Concept Drift
Data Augmentation
Data Drift
Data Imputation
Data Labeling
Data Pipeline
Data Postprocessing
Data Preprocessing
Datasets
Embedding Stores
Feature Store
Ground Truth
Model Generalization
Open-Source Datasets
Overfitting
Privacy-Preserving Data Sharing
Regularization
Synthetic Data
Synthetic Media
Term Frequency-Inverse Document Frequency (TF-IDF)
Test Data
Tokens
Training Data
Underfitting
Validation Data
Vector Database
Words

AI Evaluation and Performance Metrics

Area Under Curve (AUC)
BLEU Score
Bias
Calibration Error
Confusion Matrix
Cross-Validation
F1 Score
Fairness Metrics
Log Loss
METEOR Score
Model Explainability Metrics
Perplexity
Precision
ROUGE Score
Recall
Receiver Operating Characteristic Curve (ROC Curve)
Variance

AI Frameworks and Libraries

AI Learning Techniques and Strategies

Active Learning
Batch Learning
Continual Learning
Contrastive Learning
Curriculum Learning
Energy-Based Learning
Federated Learning
Few-Shot Fine-Tuning
Fine-tuning
Heuristic Methods
Human in the Loop
Incremental Learning
Lifelong Learning
Meta-Learning
Offline Learning
Online Learning
Self-Learning Systems
Self-Supervised Learning
Semi-Supervised Learning
Sequence Modeling
Tokenization
Training
Transfer Learning

AI Models and Architectures

AI Processing and Hardware

Graphics Processing Unit (GPU)
Horizontal Scaling
Processor
Tensor
Tensor Processing Unit (TPU)
Vertical Scaling

Core AI Concepts

Artificial General Intelligence (AGI)
Computer Vision
Deep Learning
General AI
Interactive AI
Large Language Model (LLM)
Machine Learning
Narrow AI
Natural Language Processing (NLP)
Neural Network
Predictive Modeling
Reinforcement Learning
Small Language Model (SML)
Strong AI
Supervised Learning
Unsupervised Learning
Weak AI

Generative AI and Related Concepts

Autoencoder
Compressed Representation
Decode
Deep Fakes
Denoising
Differentiator
Diffusion-based Text-to-Image Models
Encode
Generative Pretraining
Generator
Hallucination
Hallucination Detection
Image-to-Text Models
Latent Diffusion Models
Latent Space
Lower-dimensional Representation
Model Alignment
Textual Inversion

Mathematics and Statistics in AI

New Terms

Popular AI Models