Which step is NOT part of the generative AI process?

The generative AI process typically involves several crucial steps designed to create new content from existing data. The steps commonly include data input, where raw data is collected and fed into the model; pattern recognition, where the AI analyzes and identifies patterns within the data to learn from it; and content generation, where the AI utilizes the learned patterns to produce new, original content.

Memory storage, while important in various computing contexts, is not specifically a part of the generative AI process itself. Instead, it refers more broadly to the capacity of systems to retain information over time, which is not a direct step in generating new AI content. Therefore, recognizing that memory storage does not fit into the sequence of actions specifically aimed at content creation clarifies why this is the correct choice.