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0-9

2-stage detector|9-layer network|5G + AI|0-shot learning|6DoF pose estimation|3D convolution|8-bit quantization|7D representation|1-shot learning|4D data

A

Algorithm|Autoencoder|AGI / Artificial General Intelligence|Attention|Artificial Intelligence (AI)

B

BERT|Batch Normalization|Backpropagation|Bias|Boosting

C

Chatbot|Classifier / Classification|CNN / Convolutional Neural Network|Cross-Validation|Clustering

D

Deterministic Model|Discriminative Model|Deepfake|Data Augmentation|Deep Learning

E

Epoch|Encoder|Ensemble Learning|Embedding|Explainable AI (XAI)

F

Foundation Model|Feature Extraction|Fusion / Multimodal Fusion|Forward Propagation|Fine-tuning

G

GAN / Generative Adversarial Network|Generative AI|Gradient Descent|Grounding|Graph Neural Network (GNN)

H

Hyperparameter|Hidden Layer|Hallucination|Heuristic|Hierarchical Model

I

Instance / Sample|Instruction tuning|Intelligence Amplification / Augmentation|Interpretability|Imbalanced Data

J

JAX|Joint Embedding|JSONL / JSON-lines|Juxtaposition|Jittering

K

Knowledge Distillation|KL Divergence (Kullback–Leibler Divergence)|K-means Clustering|K-Shot Learning|Kernel Trick

L

Large Language Model (LLM)|Latent Variable|Loss Function|Learning Rate|LSTM / Long Short-Term Memory

M

Model|Machine Learning (ML)|Meta-learning|Multi-head Attention|Multimodal / Multimodality

N

Neural Network|Novelty Detection / Anomaly Detection|NLP / Natural Language Processing|NLU / Natural Language Understanding|Normalization

O

Optimizer|Online Learning|Objective Function|Overfitting|One-hot Encoding

P

Parameter|Prompt|Policy / Reinforcement Learning Policy|Pooling|Pretraining

Q

Query|Quality Estimation|Quantization|Q-learning|Queue / Buffer

R

Representation Learning|Reinforcement Learning (RL)|Retrieval Augmented Generation (RAG)|Regularization|RNN / Recurrent Neural Network

S

Self-Supervised Learning|Supervised Learning|Sampling|Sequence Modeling|Softmax

T

Tokenizer|Transfer Learning|Transformer|Tuning / Hyperparameter Tuning|Training Data

U

Unsupervised Learning|Uncertainty Estimation|Underfitting|Universal Approximation Theorem|U-Net

V

Variational Autoencoder (VAE)|Vector Embedding|Validation Set|Vanishing / Exploding Gradient|Vision Transformer (ViT)

W

Weak Supervision|Weight Decay|Whitening / Whitening Transformation|Word Embedding|Workflow

X

X-axis / feature axis|XOR problem|XAI / Explainable AI|XLM|XLNet

Y

Y-axis / feature axis|Yield (model yield / throughput)|Yoga of AI|Y-transform / YUV|YAGNI (You Aren't Gonna Need It)

Z

Zero-shot Learning / Zero-shot inference|Zero-centric / Zero-bias initialization|Z-score Normalization|Zygosity in augmentation|Zero-gradient phenomenon