Automatisierte Prompt-Härtung mit Genauigkeitserhaltung
Anmelder: Intuit Inc. 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4749512
- Anmeldetag
- 26. November 2025
- Veröffentlichung
- 27. Mai 2026
- Rechtsraum
- EP
- IPC
- G06F40/20, G06N3/044, G06N3/08
Abstract
Systems and methods for hardening system prompts are disclosed herein. An example method is performed by one or more processors of a hardening system. The example method may include receiving an initial prompt for a language model (LM), generating an initial accuracy score representative of an extent to which output generated by the LM matches a target output when the initial prompt is used as its system prompt, generating an initial robustness score representative of an extent to which the LM resists adversarial attacks when the initial prompt is used as its system prompt, and iteratively transforming, using an artificial intelligence (AI)-based hardening agent in conjunction with a set of machine learning (ML)-based optimization tools and a reinforcement learning (RL) technique, the initial prompt into a hardened prompt such that the hardened prompt maximizes an increase of the initial robustness score and minimizes a decrease of the initial accuracy score.
Anmelder
- Firma
- Intuit Inc.
- Land
- 🇺🇸 USA
US-amerikanisches Softwareunternehmen für Finanz- und Steuersoftware (u. a. TurboTax, QuickBooks) mit Sitz in Kalifornien.
552 Patente in unserer Datenbank
Vertreten von
-
D Young & Co LLP
D Young & Co LLP · London