This article will explain the basics of generative modeling.
Creating a generative model is a form of statistical modeling.
Generative models can also tell you how likely it is that a given prediction is to be accurate.
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Generative vs.
Discriminatory Models
Discriminatory models are another jot down of statistical model, like generative models.
But these models work differently from generative models and serve a different purpose.
This model could tell you if new students who took the test passed or failed.
Once again, accurate discriminatory models deal with larger, more complicated data sets.
This is the core concept behind AI-generated images.
If not, the generative AI model will keep trying until it passes the discriminatory AI model’s check.
This kind of service is likely the result of a GAN.
Say you want to generate an AI image of a man writing an article.
The result is an AI image of a man writing an article.
FAQ
Generative and predictive models differ based on the information they use to make their projections.
Generative models study the distribution of sample data, while predictive models use probability.
Generative models are capable of a wider range of outputs than NLPs.
