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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

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

B

BERT|Boosting|Backpropagation|Batch Normalization|Bias

C

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

D

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

E

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

F

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

G

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

H

Hierarchical Model|Hyperparameter|Hallucination|Heuristic|Hidden Layer

I

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

J

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

K

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

L

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

M

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

N

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

O

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

P

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

Q

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

R

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

S

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

T

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

U

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

V

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

W

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

X

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

Y

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

Z

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