Generation is the process by which a generative AI model creates new content from input data, prompts, or learned patterns. The generated output may be text, image, audio, video, code, or other structured content.
In the context of generative AI, "generation" refers to the process of creating new data or content from existing data or information. Generative AI models are trained on large datasets and can learn patterns and relationships within the data. They can then use this knowledge to generate new and unique content that is similar to the training data but not an exact replica. For more information, see When to use generative AI or traditional AI.