Tech & Gadgets

Show HN: Sup AI, a confidence-weighted ensemble (52.15% on Humanity's Last Exam)

29 sec read16 views0 listens

Ken, a Stanford CS student, developed Sup AI, an ensemble model that combines multiple AI models' outputs based on confidence levels, achieving a 52.15% score on Humanity's Last Exam compared to the best individual model's 44.74%. This approach offers developers and tech professionals a new method to enhance AI accuracy by leveraging diverse error patterns among models. Watch for potential improvements in ensemble learning techniques as more researchers explore this promising avenue.

Read the full article at Hacker News

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