Which category of AI model is designed to predict continuous numeric values?

Regression models are specifically designed to predict continuous numeric values. For example, they can predict house prices, temperature, or sales figures. They establish a relationship between input variables and a continuous output. Diffusion models are generative models used for creating new data, often images, by iteratively denoising random noise. Transformer models are powerful architectures primarily used for sequence-to-sequence tasks like natural language processing (NLP) and machine translation. Multi-modal models integrate and process information from multiple data types, such as text and images, to perform tasks like image captioning or visual question answering. These other model types do not primarily focus on predicting continuous numeric values.