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Všechna slovíčka
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
Y
Z
A
Activation function
AI agent
Alignment
Anomaly detection
Attention mechanism
Autoencoder
Autoregressive models
B
Backpropagation
Bagging
BART
Batch
Beam search
Benchmark
BERT
C
Catastrophic forgetting
Chain-of-Thought
Chunking
Class imbalance
Classification
CLIP
Confusion matrix
Context vector
Context window
Convolutional neural networks (CNN)
Cross-attention
Cross-validation
Curse of dimensionality
D
Data and concept drift
Data augmentation
Data leakage
Decision tree
Decoder
Deep learning
Deep learning (DL)
Diffusion models
Dimensionality reduction
Dropout
E
Embedding
Emergent behaviour of AI
Encoder
Epoch
Explainable AI (XAI)
Exposure bias
F
Feature engineering
Few-shot learning
Fine-tuning
Function calling
G
GAN (Generative Adversarial Network)
Generative AI
Gradient boosting
Gradient descent
H
Hallucination
Hyperparameter
I
Image classification
Image segmentation
ImageNet
IoU (Intersection over Union)
J
Jailbreak
K
k-means clustering
k-Nearest Neighbors (k-NN)
Knowledge distillation
Knowledge graph
KV cache
L
Large language models
Latent space
Layer normalization
Learning rate
LLM (Large Language Model)
Logistic regression
LoRA (Low-Rank Adaptation)
Loss function
LSTM (Long Short-Term Memory)
M
Machine learning
Machine learning (ML)
MCP (Model Context Protocol)
Mixture of Experts (MoE)
Multi-head attention
Multimodality
N
Naive Bayes classifier
NeRF (Neural Radiance Fields)
Neural networks
Neuron
Nucleus sampling (top-p)
O
Object detection
OCR (Optical Character Recognition)
Open-weights model
Optical flow
Overfitting
P
Perplexity
Pooling
Positional encoding
Pre-trained model
Precision and recall
Principal Component Analysis (PCA)
Prompt
Prompt engineering
Prompt injection
Q
Quantization
R
RAG (retrieval-augmented generation)
Random forest
Recurrent neural networks (RNN)
Red teaming
Regression
Regularization
Reinforcement learning
Residual connection
Reward
RLHF (Reinforcement Learning from Human Feedback)
ROC curve and AUC
S
Scaling laws
Self-supervised learning
Semantic search
Softmax
Super-resolution
Supervised learning
Support Vector Machine (SVM)
System prompt
T
t-SNE and UMAP
Temperature
Token
Tokenization
Transfer learning
Transformer architecture
Transparent Intensional Logic
U
U-Net
Underfitting
Unidirectional attention
Unsupervised learning
V
Vanishing and exploding gradient
Variational autoencoder (VAE)
Vector database
Vectorisation
Vision Transformer (ViT)
W
Word2Vec
World models
Y
YOLO (You Only Look Once)
Z
Zero-shot learning
