Abstract
Our idea, Print Quality Diagnostics with GenAI, employs proprietary prompt engineering techniques and specialized large language model (LLM) integration methods that create a unique approach to print quality diagnostics. By utilizing carefully crafted LLM prompts and specialized system architecture, our product enables cross-vendor compatibility, going beyond existing solutions which tend to be vendor specific. The system integrates defect classification, reasoning explainability, and remediation generation into a unified architecture. Our solution dramatically reduces model development time while maintaining diagnostic accuracy comparable to traditional models.
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Recommended Citation
INC, HP, "Cross-Vendor Print Quality Diagnostics via GenAI", Technical Disclosure Commons, (August 26, 2025)
https://www.tdcommons.org/dpubs_series/8506