Difference between revisions of "Generative AI"
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* [[Generative Query Network (GQN)]] | * [[Generative Query Network (GQN)]] | ||
* [[Discriminative vs. Generative]] | * [[Discriminative vs. Generative]] | ||
| + | * [[Natural Language Generation (NLG)]] | ||
* [http://en.wikipedia.org/wiki/Generative_model Generative model | Wikipedia] | * [http://en.wikipedia.org/wiki/Generative_model Generative model | Wikipedia] | ||
* Adversarial | * Adversarial | ||
Revision as of 05:58, 28 June 2019
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- machines learn to perceive their surroundings by training only on data obtained by themselves
- AI Solver
- Generative Query Network (GQN)
- Discriminative vs. Generative
- Natural Language Generation (NLG)
- Generative model | Wikipedia
- Adversarial
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