Acronyms: Difference between revisions

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| '''[[ANN]]''' || => || [[Artificial neural network]]
| '''[[ANN]]''' ||   || [[Artificial neural network]]
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| '''[[ANOVA]]''' || => || [[Analysis of Variance]]
| '''[[ANOVA]]''' ||   || [[Analysis of Variance]]
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| '''[[AGI]]''' || => || [[Artificial general intelligence]]
| '''[[AGI]]''' ||   || [[Artificial general intelligence]]
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| '''[[AI]]''' || => || [[Artificial intelligence]]
| '''[[AI]]''' ||   || [[Artificial intelligence]]
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| '''[[AUC]]''' || => || [[Area Under the Curve]]
| '''[[AUC]]''' ||   || [[Area Under the Curve]]
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| '''[[BERT]]''' || => || [[Bidirectional Encoder Representations from Transformers]]
| '''[[BERT]]''' ||   || [[Bidirectional Encoder Representations from Transformers]]
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| '''[[CLIP]]''' || => || [[Contrastive Language-Image Pre-Training]]
| '''[[CLIP]]''' ||   || [[Contrastive Language-Image Pre-Training]]
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| '''[[CNN]]''' || => || [[Convolutional neural network]]
| '''[[CNN]]''' ||   || [[Convolutional neural network]]
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| '''[[CV]]''' || => || [[Computer Vision]], [[Cross validation]]
| '''[[CV]]''' ||   || [[Computer Vision]], [[Cross validation]]
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| '''[[DL]]''' || => || [[Deep learning]]
| '''[[DL]]''' ||   || [[Deep learning]]
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| '''[[DNN]]''' || => || [[Deep neural network]]
| '''[[DNN]]''' ||   || [[Deep neural network]]
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| '''[[DQN]]''' || => || [[Deep Q-Learning]]
| '''[[DQN]]''' ||   || [[Deep Q-Learning]]
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| '''[[EDA]]''' || => || [[Exploratory Data Analysis]]
| '''[[EDA]]''' ||   || [[Exploratory Data Analysis]]
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| '''[[GAN]]''' || => || [[Generative Adversarial Network]]
| '''[[GAN]]''' ||   || [[Generative Adversarial Network]]
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| '''[[GLUE]]''' || => || [[General Language Understanding Evaluation]]
| '''[[GLUE]]''' ||   || [[General Language Understanding Evaluation]]
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| '''[[GPT]]''' || => || [[Generative Pre-Training]]
| '''[[GPT]]''' ||   || [[Generative Pre-Training]]
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| '''[[LaMDA]]''' || => || [[Language Models for Dialog Applications]]
| '''[[LaMDA]]''' ||   || [[Language Models for Dialog Applications]]
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| '''[[LLM]]''' || => || [[Large language model]]
| '''[[LLM]]''' ||   || [[Large language model]]
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| '''[[ML]]''' || => || [[Machine learning]]
| '''[[ML]]''' ||   || [[Machine learning]]
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| '''[[NLP]]''' || => || [[Natural Language Processing]]
| '''[[NLP]]''' ||   || [[Natural Language Processing]]
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| '''[[NLU]]''' || => || [[Natural Language Understanding]]
| '''[[NLU]]''' ||   || [[Natural Language Understanding]]
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| '''[[NN]]''' || => || [[Neural network]]
| '''[[NN]]''' ||   || [[Neural network]]
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| '''[[PaLM]]''' || => || [[Pathways Language Model]]
| '''[[PaLM]]''' ||   || [[Pathways Language Model]]
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| '''[[PPO]]''' || => || [[Proximal Policy Optimization]]
| '''[[PPO]]''' ||   || [[Proximal Policy Optimization]]
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| '''[[REALM]]''' || => || [[Retrieval-Augmented Language Model Pre-Training]]
| '''[[REALM]]''' ||   || [[Retrieval-Augmented Language Model Pre-Training]]
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| '''[[RETRO]]''' || => || [[Retrieval Enhanced Transformer]]
| '''[[RETRO]]''' ||   || [[Retrieval Enhanced Transformer]]
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| '''[[RL]]''' || => || [[Reinforcement learning]]
| '''[[RL]]''' ||   || [[Reinforcement learning]]
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| '''[[RLHF]]''' || => || [[Reinforcement Learning from Human Feedback]]
| '''[[RLHF]]''' ||   || [[Reinforcement Learning from Human Feedback]]
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| '''[[RNN]]''' || => || [[Recurrent neural network]]
| '''[[RNN]]''' ||   || [[Recurrent neural network]]
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| '''[[RPA]]''' || => || [[Robotic Process Automation]]
| '''[[RPA]]''' ||   || [[Robotic Process Automation]]
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| '''[[SL]]''' || => || [[Supervised learning]]
| '''[[SL]]''' ||   || [[Supervised learning]]
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| '''[[STaR]]''' || => || [[Self-Taught Reasoner]]
| '''[[STaR]]''' ||   || [[Self-Taught Reasoner]]
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| '''[[UL]]''' || => || [[Unsupervised learning]]
| '''[[UL]]''' ||   || [[Unsupervised learning]]
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| '''[[ViT]]''' || => || [[Vision Transformer]]
| '''[[ViT]]''' ||   || [[Vision Transformer]]
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[[Category:Guides]]
[[Category:Guides]]

Revision as of 02:50, 8 February 2023

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
CLIP Contrastive Language-Image Pre-Training
CNN Convolutional neural network
CV Computer Vision, Cross validation
DL Deep learning
DNN Deep neural network
DQN Deep Q-Learning
EDA Exploratory Data Analysis
GAN Generative Adversarial Network
GLUE General Language Understanding Evaluation
GPT Generative Pre-Training
LaMDA Language Models for Dialog Applications
LLM Large language model
ML Machine learning
NLP Natural Language Processing
NLU Natural Language Understanding
NN Neural network
PaLM Pathways Language Model
PPO Proximal Policy Optimization
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
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