Generative AI Data Storage With Linked Prompt and Regeneration Conditions
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Solution Overview
Problem
Existing generative AI systems require significant effort to reference generation condition information, which is necessary to reproduce or regenerate data accurately, leading to inefficiencies in data management and storage.
Innovation Solution
An information processing apparatus that associates generated data with its generation condition information, such as prompts and noise initial values, allowing for efficient retrieval and management of this data, including methods for regeneration, deletion, and generation history mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generation condition information is stored separately from generated data, then storage organization is simplified, but effort required to reference and manage generation condition information increases
Solution Approach 1:
The patent merges generated data and generation condition information into a unified storage structure where each generated data item is directly associated with its generation condition information. This integration allows simultaneous access to both the generated data and its corresponding conditions without requiring separate lookup operations, thereby reducing the effort required for reference while maintaining manageable system complexity through structured association.
2Quantity of substance
If all generated data and conditions are stored indefinitely, then data availability is maximized, but storage capacity requirements increase
Solution Approach 1:
The patent implements preliminary actions by automatically associating generation condition information with generated data at the time of generation, creating a structured storage framework that enables efficient retrieval. This pre-organization allows the system to maintain data availability for actively used generated content while the structured association mechanism enables intelligent storage management that can optimize capacity usage based on access patterns and data importance.
Data Source
AI summary
An information processing apparatus comprising: an acquisition unit configured to acquire generated data generated by using generative AI; an information acquisition unit configured to acquire generation condition information that is information indicating a generation condition when the generated data is generated; and a storage unit configured to store the generated data and the generation condition information in association with each other.