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Масштабирование во время тестирования — это многообещающий новый подход к языковому моделированию, который использует дополнительные вычисления во время тестирования для повышения производительности. Недавно модель OpenAI o1 продемонстрировала эту возможность, но не поделилась своей методологией публично, что привело к многочисленным попыткам репликации. Мы ищем самый простой подход для достижения масштабирования во время тестирования и высокой производительности рассуждений.

https://github.com/simplescaling/s1

Big data world
Масштабирование во время тестирования — это многообещающий новый подход к языковому моделированию, который использует дополнительные вычисления во время тестирования для повышения производительности. Недавно модель OpenAI o1 продемонстрировала эту возможность, но не поделилась своей методологией публично, что привело к многочисленным попыткам репликации. Мы ищем самый простой подход для достижения масштабирования во время тестирования и высокой производительности рассуждений.

https://github.com/simplescaling/s1
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GitHub - simplescaling/s1: s1: Simple test-time scaling
s1: Simple test-time scaling. Contribute to simplescaling/s1 development by creating an account on GitHub.
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Масштабирование во время тестирования — это многообещающий новый подход к языковому моделированию

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