Conditional Generation refers to the process where the output is generated based on certain conditions or input variables. For example, in a text generation model, a specific keyword or topic might be provided as input, and the model generates relevant content around it. This is commonly used in tasks like guided story writing, data-to-text transformations, or image captioning where specific conditions direct the generation process.