system
The system addresses inefficiencies in AI model training by collecting and analyzing CAPTCHA image recognition results during user login, providing efficient and unbiased AI development through RLAIF, thereby reducing costs and improving accuracy.
JP2026107290APending Publication Date: 2026-06-30SOFTBANK GROUP CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Existing systems fail to efficiently collect and utilize image recognition results of CAPTCHA for AI model learning, leading to inefficiencies and high costs in human feedback reliance.
Method used
A system comprising a collection unit, analysis unit, and learning unit that collects CAPTCHA image recognition results during user login, analyzes them, and generates feedback to train AI models, leveraging RLAIF for efficient and unbiased AI development.
Benefits of technology
The system effectively reduces AI development costs and improves accuracy by utilizing CAPTCHA feedback, reducing human bias and enhancing AI performance through efficient data collection and analysis.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026107290000001_ABST
Abstract
The system according to this embodiment aims to efficiently collect CAPTCHA image recognition results and utilize them for training an AI model. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a generation unit, and a learning unit. The collection unit collects CAPTCHA image recognition results based on the user's login activity. The analysis unit analyzes the image recognition results collected by the collection unit. The generation unit generates feedback based on the data analyzed by the analysis unit. The learning unit uses the feedback generated by the generation unit to train an AI model.
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