{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11966697","patent":{"patent_number":"US-11966697","title":"Systems and methods for automated degradation-resistant tuning of machine-learning language processing models","assignee":null,"inventors":[],"filing_date":"2019-06-11T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F","G06N"],"num_claims":10,"abstract":"Systems and methods for automated, degradation-resistant, tuning of machine-learning (“ML”) models are provided. The systems and methods may identify an inoperative input utterance, retrieve a feature set associated with the inoperative input utterance, and generate an updated utterance-feature-intent (“UFI”) mapping based on the retrieved feature set. The systems and methods may retrain the ML model using the updated UFI mapping, and compare the accuracy of the system after the retraining and before the retraining. In a scenario where the accuracy of the system does not improve, the systems and methods may amplify the updated UFI mapping. In a scenario where the accuracy of the system does improve, the systems and methods may deploy the updated UFI mapping."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for automated degradation-resistant tuning of machine-learning language processing models","description":"Systems and methods for automated, degradation-resistant, tuning of machine-learning (“ML”) models are provided. The systems and methods may identify an inoperative input utterance, retrieve a feature","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11966697","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11966697","citation_suggestion":"Patentable. \"Systems and methods for automated degradation-resistant tuning of machine-learning language processing models\" (US-11966697). https://patentable.app/patents/US-11966697","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11966697","json":"https://patentable.app/api/llm-context/US-11966697","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:46:42.805Z"}