In this tutorial blog post, I will introduce you to the top 5 generative AI algorithms that everyone should know. I will explain each algorithm in detail and provide examples of how they can be used. I will also discuss the most recent developments in the field of generative AI, including diffusion models. Generative AI is a fascinating field that has seen tremendous growth in recent years. It involves using machine learning algorithms to generate new data that is similar to the training data. Generative AI has been used to generate realistic images, videos, music, and even text. In this tutorial, we will focus on the top 5 generative AI algorithms that everyone should know. Top 5 Generative AI Algorithms 1. Generative Adversarial Networks (GANs): GANs are a class of neural networks that are used to generate new data that is similar to the training data. They consist of two networks: a generator and a discriminator. The generator creates new data, while the discriminator tries to dis