Acronyms

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Revision as of 11:02, 28 February 2023 by Elegant angel (talk | contribs)
See also: Guides, Terms and Abbreviations
ACE Alternating conditional expectation algorithm
ADT Automatic Drum Transcription
AdA Adaptive Agent
AE Autoencoder
AGI Artificial general intelligence
AI Artificial intelligence
AIWPSO Adaptive Inertia Weight Particle Swarm Optimization
AM Activation maximization
AMT Automatic Music Transcription
ANI Artificial Narrow Intelligence
ANN Artificial neural network
ANOVA Analysis of variance
AR Augmented reality
ASI Artificial superintelligence
ASR Automatic speech recognition
AUC Area Under the Curve
BCE Binary cross-entropy
BERT Bidirectional Encoder Representations from Transformers
BLEU Bilingual evaluation understudy
BP Backpropagation
BPTT Backpropagation through time
BRNN Bidirectional Recurrent Neural Network
BRR Bayesian ridge regression
CAE Contractive Autoencoder
CBOW Continuous Bag of Words
CCE Categorical cross-entropy
CL Confident learning
CLIP Contrastive Language-Image Pre-Training
CNN Convolutional neural network
CSV Comma-separated values
CUDA Compute Unified Device Architecture
CV Computer Vision, Cross validation, Coefficient of variation
DBN Deep belief network
DCAI Data-centric AI
DE Differential evolution
DL Deep learning
DNN Deep neural network
DQN Deep Q-Learning
EDA Exploratory data analysis
FN False negative
FNR False negative rate
FP False positive
FPR False positive rate
GAN Generative Adversarial Network
GBM Gradient Boosting Machine
GD Gradient descent
GFNN Gradient frequency neural network
GLM Generalized Linear Model
GloVE Global Vectors
GLUE General Language Understanding Evaluation
GMM Gaussian mixture model
GPR Gaussian process regression
GPT Generative Pre-Training
GPU Graphics processing unit
GRU Gated recurrent unit
HAN Hierarchical Attention Networks
HF Hugging Face
i.i.d. Independently and identically distributed
ICA Independent component analysis
IID Independently and identically distributed
kFCV K-fold cross validation
KNN K-nearest neighbors
LAION Large-scale Artificial Intelligence Open Network
LaMDA Language Models for Dialog Applications
LLM Large language model
LLS Linear least squares
LoLM Lots of Little Models
LSTM Long short-term memory
MAE Mean absolute error
MAPE Mean absolute percentage error
MNIST Modified National Institute of Standards and Technology
MSE Mean squared error
ML Machine learning
MLLM Multimodal large language model
NER Named entity recognition
NST Neural style transfer
NLP Natural Language Processing
NLU Natural Language Understanding
NMF Non-negative matrix factorization
NN Neural network
OBM One Big Model
OCR Optical character recognition
OOF Out-of-fold
PaLM Pathways Language Model
PCA Principal component analysis
PFE Probabilistic facial embedding
PPO Proximal Policy Optimization
R2 R-squared
RF Random forest
REALM Retrieval-Augmented Language Model Pre-Training
ReLU Rectified Linear Unit
RETRO Retrieval Enhanced Transformer
RFE Recursive Feature Elimination
RL Reinforcement learning
RLHF Reinforcement Learning from Human Feedback
RMSLE Root mean squared logarithmic error
RMSE Root mean squared error
RNN Recurrent neural network
RoBERTa Robustly Optimized BERT Pretraining Approach
ROC Receiver operating characteristic
RPA Robotic Process Automation
RSI Recursive self-improvement
SGD Stochastic gradient descent
SL Supervised learning
ST Style transfer
STaR Self-Taught Reasoner
SVM Support vector machine
SVR Support Vector Regression
T5 Text-To-Text Transfer Transformer
tf-idf term frequency–inverse document frequency
TN True negative
TNR True negative rate
TP True positive
TPR True positive rate
t-SNE t-distributed stochastic neighbor embedding
UL Unsupervised learning
VR Virtual reality
ViT Vision Transformer