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0-9

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

A

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

B

Backpropagation|BERT|Bias|Boosting|Batch Normalization

C

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

D

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

E

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

F

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

G

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

H

Hidden Layer|Hallucination|Heuristic|Hyperparameter|Hierarchical Model

I

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

J

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

K

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

L

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

M

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

N

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

O

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

P

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

Q

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

R

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

S

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

T

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

U

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

V

Vector Embedding|Vanishing / Exploding Gradient|Validation Set|Variational Autoencoder (VAE)|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|Y-transform / YUV|YAGNI (You Aren't Gonna Need It)|Yield (model yield / throughput)|Yoga of AI

Z

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