{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11966428","patent":{"patent_number":"US-11966428","title":"Resource-efficient sequence generation with dual-level contrastive learning","assignee":null,"inventors":[],"filing_date":"2021-07-01T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06N","G06N"],"num_claims":19,"abstract":"A training system produces a resource-efficient machine-trained model via a training architecture that employs plural processing paths. Some of the processing paths incorporate the use of auxiliary information that imparts external knowledge about source items being processed. The training architecture also employs contrastive learning that operates at different respective levels within the training architecture. For instance, the training architecture uses encoder-level contrastive learning to compare output information generated by different encoders within the training architecture. The training architecture uses decoder-level contrastive learning to compare output information produced by different decoders within the training architecture. An inference-stage system performs an application task using the model produced by the training system."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Resource-efficient sequence generation with dual-level contrastive learning","description":"A training system produces a resource-efficient machine-trained model via a training architecture that employs plural processing paths. Some of the processing paths incorporate the use of auxiliary in","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11966428","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-11966428","citation_suggestion":"Patentable. \"Resource-efficient sequence generation with dual-level contrastive learning\" (US-11966428). https://patentable.app/patents/US-11966428","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11966428","json":"https://patentable.app/api/llm-context/US-11966428","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:09:56.792Z"}