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0-9

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

A

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

B

BERT|Boosting|Bias|Backpropagation|Batch Normalization

C

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

D

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

E

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

F

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

G

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

H

Hierarchical Model|Hallucination|Heuristic|Hyperparameter|Hidden Layer

I

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

J

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

K

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

L

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

M

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

N

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

O

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

P

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

Q

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

R

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

S

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

T

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

U

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

V

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

W

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

X

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

Y

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

Z

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