Difference between revisions of "Generative AI"

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* [[Assistants]] ... [[Hybrid Assistants]]  ... [[Agents]]  ... [[Negotiation]]
 
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* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]]
 
* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]]
 
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** [[Neeva]]

Revision as of 13:26, 10 March 2023

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Background: What is a Generative Model? | Google

More formally, given a set of data instances X and a set of labels Y:

  • Generative models capture the joint probability p(X, Y), or just p(X) if there are no labels.
  • Discriminative models capture the conditional probability p(Y | X).

A generative model includes the distribution of the data itself, and tells you how likely a given example is. For example, models that predict the next word in a sequence are typically generative models (usually much simpler than GANs) because they can assign a probability to a sequence of words.

Informally:

  • Generative models can generate new data instances.
  • Discriminative models discriminate between different kinds of data instances.



Roblox

Roblox is a gaming platform and publishing system that allows users to create and play 3D games online. Some of the technologies used with Roblox are:

  • Roblox Studio, a development environment that provides tools for creating and publishing games on Roblox
  • Roblox VR, a virtual reality feature that enables users to enjoy the games in immersive 3D environments
  • Generative AI, a new technology that uses artificial intelligence to generate code, assets, and content for Roblox games
  • Amazon AWS, a cloud computing service that hosts Roblox’s servers and data centers

Deep Generative Modeling

Agents


Generative Modeling Language