{"event":{"id":"evt-gpt35-finetune-20230822","dedupe_key":"model_customization_release:2023-08-22:gpt-3-5-turbo-fine-tuning-becomes-available","event_type":"model_customization_release","title":"GPT-3.5 Turbo fine-tuning becomes available","summary":"OpenAI made self-service fine-tuning for GPT-3.5 Turbo available to developers.","occurred_at":"2023-08-22T00:00:00.000Z","published_at":"2023-08-22T00:00:00.000Z","observed_at":"2026-10-07T15:56:31.000Z","reconstructed_at":"2026-10-07T16:04:51.000Z","ingest_type":"live_world_scan","locations":null,"status":"verified","confidence":0.99,"metadata":{"actors":["OpenAI"],"what_happened_at_time":"OpenAI made self-service fine-tuning for GPT-3.5 Turbo available to developers.","evidence_at_time":"OpenAI's August 22 release says developers could bring their own data to customize GPT-3.5 Turbo for specific use cases.","affected_layers":["layer-models","layer-software","layer-research"],"change_kind":"enterprise_model_customization","q2_continuity":"Q2 made tool/function interfaces more reusable but did not add self-service fine-tuning to this chat-model API.","retrospective_inference":"Model deployment became more organization- and use-case-specific.","uncertainty":"Fine-tuning availability did not establish improved performance for all tasks or organizations."},"created_at":"2026-10-07T16:56:16.851Z","updated_at":"2026-10-07T16:56:16.851Z"},"artifacts":[{"id":"art-gpt35-finetune-20230822","dedupe_key":"c57eaf908f5886f53c0e2b95c7b0713898f7de2f9ad59d03ebfb2f60ddb5ed6b","canonical_url":"https://openai.com/index/gpt-3-5-turbo-fine-tuning-and-api-updates/","evidence_locator":"","artifact_type":"model_customization_release","title":"GPT-3.5 Turbo fine-tuning","summary":"OpenAI made self-service GPT-3.5 Turbo fine-tuning available.","creator_entities":["OpenAI"],"released_at":"2023-08-22T00:00:00.000Z","content_hash":null,"metadata":{"historical_scope":"2023-Q3"},"created_at":"2026-10-07T16:56:16.836Z","updated_at":"2026-10-07T16:56:16.836Z","relation":"evidenced_by"}],"signals":[{"id":"sig-q3-enterprise-ai-operationalization","statement":"Generative AI gained enterprise deployment controls, business-data isolation, organizational administration and self-service model customization, strengthening production use inside organizations.","signal_type":"enterprise_ai_operationalization","direction":"increasing","confidence":0.98,"epistemic_status":"supported_inference","mapping_mode":"retrospective","reconstructed_at":"2026-10-07T16:04:51.000Z","created_at":"2026-10-07T16:56:16.860Z","updated_at":"2026-10-07T16:56:16.860Z"}]}