GENERATIVE AI VS. DISCRIMINATIVE AI: WHAT ARE THE KEY DIFFERENCES?

Generative AI and discriminative AI are two distinct methodologies in Machine Learning (ML) that serve different purposes. Discriminative AI models focus more on predicting the likelihood and probability of a particular class or category from the user’s input. Generative models, on the other hand, are used to generate new instances of data from similar data. Therefore, discriminative AI is used to classify and analyze data by understanding the decision boundary and distinguishing different classes of data. Generative AI models aim to understand data distribution from the given information. In this video, we will explore the key difference between generative AI and discriminative AI.
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