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

Browse Glossary

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

AI-Driven Software Development: Understanding Modern Code Generation Technologies

A

ANOVA (Analysis of Variance)

A

Activation Function

A

Active Learning

A

A

A

A

A

A

Area Under Curve (AUC)

A

Artificial General Intelligence (AGI)

A

Attention Mechanism

A

Attention Pooling

A

AutoML (Automated Machine Learning)

A

B

BERT (Bidirectional Encoder Representations from Transformers)

B

B

Backpropagation

B

Bag of Words (BoW)

B

Bandit Algorithm

B

B

Bayesian Networks

B

Bayesian Optimization

B

B

B

Bidirectional Models

C

C

C

Calibration Error

C

C

C

C

C

Compressed Representation

C

Computer Vision

C

C

Confusion Matrix

C

Continual Learning

C

Contrastive Learning

C

C

Convolutional Neural Network (CNN)

C

C

Cross-Validation

C

Curriculum Learning

D

Data Augmentation

D

D

Data Imputation

D

D

D

Data Postprocessing

D

Data Preprocessing

D

D

D

D

D

Deep Q Network (DQN)

D

DeepSeek AI Models: Technical Capabilities and Enterprise Applications

D

D

D

D

D

Diffusion Models

D

Diffusion-based Text-to-Image Models

D

Dimensionality Reduction

D

E

ELMo (Embeddings from Language Models)

E

E

Embedding Stores

E

E

E

Energy-Based Learning

E

Evolutionary Algorithms

F

F

Fairness Metrics

F

F

F

Feature Engineering

F

Feature Extraction

F

F

Federated Learning

F

Few-Shot Fine-Tuning

F

Few-Shot Learning

F

G

GPT (Generative Pre-trained Transformer)

G

Gated Recurrent Unit (GRU)

G

G

G

Generative Adversarial Network (GAN)

G

Generative Pretraining

G

G

G

G

GloVe (Global Vectors for Word Representation)

G

Gradient Descent

G

G

Graphics Processing Unit (GPU)

G

H

H

Hallucination Detection

H