Berkeley Protocol

The Berkeley Protocol is a method in artificial intelligence for teaching machines how to generate or complete data, such as images or text, based on limited information. It allows models to iteratively refine their outputs by predicting missing parts, improving accuracy and coherence. This approach is especially useful in situations with incomplete data, as it helps AI generate realistic and consistent results. Essentially, the protocol guides AI systems to fill in gaps reliably, enhancing their ability to understand and produce complex data patterns efficiently.