What are the two main types of generative AI models?
There are actually more than two main types of generative AI models, but two of the most prominent and well-researched are:
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Generative Adversarial Networks (GANs): These models work in a competitive way. Imagine two teams, one (the generator) creates new data, and the other (the discriminator) tries to identify if it's real or generated. Through this competition, the generator learns to create increasingly realistic and convincing data, like images or text.
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Autoregressive Models: These models work in a step-by-step fashion, predicting the next element of the data based on what they've seen previously. This makes them well-suited for tasks like text generation, where the model predicts the next word in a sequence based on the preceding words.
