The 3 AI Models You Must Know | GANs vs VAEs vs Transformers | Blockstak (Lesson 11)

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Ever wondered what actually powers ChatGPT, DALL·E, Stable Diffusion, and other modern AI tools?

Behind every breakthrough in Generative AI are a few powerful architectures that make it all possible: GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.
In this lesson from the Blockstak Generative AI Course, you'll explore the three core models that underpin modern Generative AI.

Through simple analogies, beginner-friendly explanations, and real-world examples, you'll learn how each architecture works, why they're different, and where they're used in today's AI applications.

From GANs competing like an artist and detective, to VAEs learning compressed representations, to Transformers using the revolutionary attention mechanism behind ChatGPT, this lesson gives you the conceptual understanding needed before diving deeper into Large Language Models.


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