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From AI Wiki
Revision as of 15:34, 8 February 2023 by
Alpha5
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Template:Need Expansion
See also:
Guides
and
Terms
ANN
Artificial neural network
ANOVA
Analysis of variance
AGI
Artificial general intelligence
AI
Artificial intelligence
AUC
Area Under the Curve
BERT
Bidirectional Encoder Representations from Transformers
BLEU
Bilingual evaluation understudy
CLIP
Contrastive Language-Image Pre-Training
CNN
Convolutional neural network
CUDA
Compute Unified Device Architecture
CV
Computer Vision
,
Cross validation
DL
Deep learning
DNN
Deep neural network
DQN
Deep Q-Learning
EDA
Exploratory data analysis
GAN
Generative Adversarial Network
GBM
Gradient Boosting Machine
GLM
Generalized Linear Model
GLUE
General Language Understanding Evaluation
GPT
Generative Pre-Training
GRU
Gated recurrent unit
ICA
Independent component analysis
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
LSTM
Long short-term memory
MAPE
Mean absolute percentage error
MSE
Mean squared error
ML
Machine learning
NLP
Natural Language Processing
NLU
Natural Language Understanding
NMF
Non-negative matrix factorization
NN
Neural network
OOF
Out-of-fold
PaLM
Pathways Language Model
PCA
Principal component analysis
PPO
Proximal Policy Optimization
R2
R-squared
RF
Random forest
REALM
Retrieval-Augmented Language Model Pre-Training
RETRO
Retrieval Enhanced Transformer
RL
Reinforcement learning
RLHF
Reinforcement Learning from Human Feedback
RNN
Recurrent neural network
RPA
Robotic Process Automation
SL
Supervised learning
STaR
Self-Taught Reasoner
UL
Unsupervised learning
ViT
Vision Transformer
Category
:
Guides