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Vision models are a type of machine learning models specifically designed to analyze and interpret visual information such as images and videos.
Diffusion models are a class of generative machine learning models used to create data such as images, text, or sound. They work by simulating the process of gradually converting random noise into a target signal.
Language models are machine learning algorithms that are trained on texts in order to understand, generate and interpret language. They can predict the next word in a sentence, create texts, answer questions, and perform other language tasks.
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