Difference between revisions of "Generative AI"

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** [[Autoencoder (AE) / Encoder-Decoder]]
 
** [[Autoencoder (AE) / Encoder-Decoder]]
 
** Sequence Models
 
** Sequence Models
 +
*** [[Transformer]]
 
*** [[Recurrent Neural Network (RNN)]]
 
*** [[Recurrent Neural Network (RNN)]]
 
*** [[Sequence to Sequence (Seq2Seq)]]
 
*** [[Sequence to Sequence (Seq2Seq)]]

Revision as of 07:03, 2 October 2019

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- machines learn to perceive their surroundings by training only on data obtained by themselves

Generative modeling asks how likely it is, given condition X, that you’ll observe outcome Y. The approach has proved incredibly potent and versatile. How Artificial Intelligence Is Changing Science | Dan Falk - Quanta Magazine




Deep Generative Modeling


Agents


Generative Modeling Language