OpenAI o4-proto-6 enables 96-hour autonomous ML model fine-tuning and deployment loop
[AI-NEWS]
Date: 2026-02-28
Content : o4-proto-6 autonomously runs a 96-hour ML pipeline: dataset curation → model selection → hyperparameter search → fine-tuning → evaluation → deployment artifact generation, achieving 96% success on internal benchmark for novel NLP tasks from text description alone.
Keywords : autonomous ML pipeline, fine-tuning loop, o4-proto-6, hyperparameter search, end-to-end deployment
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