The project, which involved researchers Sarah Hooker and Shivam Singh, addresses the constraints of a zero data regime where no high-quality curation is available for a specific capability. Invent a Dataset is a prompt based system that converts a simple capability description into large scale datasets to enable adaptive specialization in specific domains.
Tuesday, October 20, 2026
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Adaption AI Beats GPT 5.6 and Claude Opus 5 in Data Synthesis
AI19 days ago
A new system for creating synthetic training sets from text descriptions has been released to help developers post-train AI models without relying on pre-existing data. Developed by Adaption AI, the tool called Invent a Dataset outperforms GPT-5.6, Claude Opus 5, and Gemini 3.1 Pro across 8 task types with 17% higher quality and 19% greater sample diversity. The diversity gap increases as the dataset grows, reaching a 37% lead at 20K samples with 0.0% duplicates.
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