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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|Algorithm|Autoencoder|Artificial Intelligence (AI)|Attention

B

BERT|Backpropagation|Batch Normalization|Boosting|Bias

C

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

D

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

E

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

F

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

G

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

H

Hyperparameter|Heuristic|Hidden Layer|Hierarchical Model|Hallucination

I

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

J

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

K

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

L

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

M

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

N

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

O

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

P

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

Q

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

R

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

S

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

T

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

U

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

V

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

W

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

X

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

Y

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

Z

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