Generative Model

Deep Generative Model (DGM), Gen AI, Generative AI

We define a generative model as fully specifying. For non-generative

Discriminative Model model, we are only interested in a conditional mapping

p(y|x)

Posterior

p(y,x) = p(y|x)p(x)

Classical supervised & unsupervised learning predict | classify | cluster with resulting number, discrete, class or probability. The result of Generative Model is Natural language | Image | Audio

Generative Models

EBM

Normalizing flow

Naïve Bayes

Score-based Generative Model

Generative Model Notion

Lesson

generative-ai

GoogleCloudPlatform • Updated 2024 Dec 28 12:33

GenerativeAIExamples

NVIDIA • Updated 2024 Dec 27 7:46

Generative AI for Beginners

Description

https://microsoft.github.io/generative-ai-for-beginners/#/

Generative AI: autocomplete for everything

This blog post is co-authored by Noah and roon. roon is a researcher at a prominent AI company, and he also posts humorously on Twitter. Because this is a joint post, we sometimes refer to one of us in the third person.

https://noahpinion.substack.com/p/generative-ai-autocomplete-for-everything

Generative AI: A Creative New World

Applications Here are some of the applications we are excited about. There are far more than we have captured on this page, and we are enthralled by the creative applications that founders and developers are dreaming up.

https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/

Generative Model

Deep Generative Model (DGM), Gen AI, Generative AI

Lesson

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