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AI isn’t just supporting businesses-it’s altering how selections are made. These developments are redefining the principles of the game. If the digits are 3-digit, they're interpreted as X.Y.Z. Это огромная модель, с 671 миллиардом параметров в целом, но только 37 миллиардов активны во время вывода результатов. Это реальная тенденция последнего времени: в последнее время посттренинг стал важным компонентом полного цикла обучения. Это довольно недавняя тенденция как в научных работах, так и в техниках промпт-инжиниринга: мы фактически заставляем LLM думать. Наш основной вывод заключается в том, что задержки во времени вывода показывают прирост, когда модель как предварительно обучена, так и тонко настроена с помощью задержек. Модель проходит посттренинг с масштабированием времени вывода за счет увеличения длины процесса рассуждений Chain-of-Thought. Кто-то уже указывает на предвзятость и пропаганду, скрытые за обучающими данными этих моделей: кто-то тестирует их и проверяет практические возможности таких моделей. Вот это да. Похоже, что просьба к модели подумать и поразмыслить, прежде чем выдать результат, расширяет возможности рассуждения и уменьшает количество ошибок. Для модели 1B мы наблюдаем прирост в 8 из 9 задач, наиболее заметным из которых является прирост в 18 % баллов EM в задаче QA в SQuAD, 8 % в CommonSenseQA и 1 % точности в задаче рассуждения в GSM8k.