{"passport":{"slug":"generative-transformers","display_name":"Generative transformers","model_type":"language","parameter_count":null,"context_window":null,"claimed_developer":"ArXiv AI","confirmed_developer":null,"developer_confirmed_at":null,"developer_source":null,"first_appeared_at":"2026-03-07T18:30:38.128866+00:00","first_appeared_on":"rss_pipeline","status":"confirmed","availability":null,"deployment_status":"not_deployed","availability_scope":null,"gate":1,"eu_ai_act":"GPAI","regulatory_status":{"eu_ai_act":"GPAI"},"open_source":null,"weights_available":null,"license":null,"provenance_chain":[],"parent_model":null,"model_family":null,"superseded_by":null,"supersedes":[],"recommended_replacement":null,"product_links":null},"events":[{"event_type":"first_appearance","event_date":"2026-03-07T18:30:38.128866+00:00","title":"First recorded in AI news","detail":"A recent report on 'Learning the natural history of human disease with generative transformers' created an opportunity to assess the engineering challenge of delivering user-facing Generative AI applications in privacy-sensitive domains. The successful model deployment, leveraging ONNX and a custom JavaScript SDK, establishes a secure, high-performance architectural blueprint for the future of private generative AI in medicine.","source_url":"https://arxiv.org/abs/2603.00181","source_name":"ArXiv AI"}],"delta":{"days_unattributed":124,"claimed_developer":"ArXiv AI","confirmed_developer":null,"match":false}}