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0-9

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

A

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

B

Backpropagation|BERT|Bias|Boosting|Batch Normalization

C

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

D

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

E

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

F

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

G

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

H

Hierarchical Model|Heuristic|Hallucination|Hidden Layer|Hyperparameter

I

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

J

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

K

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

L

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

M

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

N

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

O

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

P

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

Q

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

R

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

S

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

T

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

U

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

V

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

W

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

X

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

Y

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

Z

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