Generative Models are a type of artificial intelligence models that can generate new data that resembles the data they were trained on.
Imagine you’re an artist who’s spent a lot of time studying and drawing horses. Over time, you get so good at it that you can draw a horse even without looking at one. Not only that, but you can draw horses in different poses, from different angles, in different styles, and so on. That’s a bit like what a generative model does.
A generative model is trained on a lot of data, like pictures of horses, and it learns the patterns and structures in that data. Then, it can generate new data that has the same patterns and structures. So, if it’s trained on pictures of horses, it can generate new pictures that look like horses.
Generative models are used in a lot of different areas in AI, such as creating realistic images, synthesizing speech, translating languages, and more. They can be really useful when we need to create new data that’s similar to our existing data.
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