Inference in the context of generative AI refers to the process where a trained AI model generates new data or outputs based on the knowledge it has acquired during its training phase. This is typically done by inputting new, unseen data into the model, which then uses its learned patterns, relationships, and rules to produce a response or prediction. In generative AI, this often involves creating content like text, images, or music that is similar in nature to the data it was trained on, but novel in its specific output. The inference process is crucial in demonstrating the AI’s ability to apply learned concepts in practical, real-world scenarios, showcasing its creativity, understanding, and adaptability.
See Also: Prompt, Completion