Ключевые слова
генеративный искусственный интеллект
профессиональное использование языковых моделей
графики знаний
оркестровка
таксономия Блума
Как цитировать
Аннотация
Востребованность генеративного искусственного интеллекта (GenAI) стремительно растет ввиду способности быстро обрабатывать масштабные объемы данных, компилировать их и транслировать «общее мнение». Однако дисбаланс между «компетенциями» GenAI препятствует расширению использования этого инструмента для решения сложных профессиональных задач. ИИ работает как гигантский накопитель и средство воспроизводства знаний, однако не способен их интерпретировать и находить правильное применение в зависимости от контекста. Сохраняется критическая вероятность ошибки при генерации ответов даже на самые простые вопросы.
В статье оценивается степень значимости ограничений, присущих GenAI. Тестирование лежащих в его основе языковых моделей, включая новейшие версии — GPT-4o1 и GigaChat MAX, проводилось с помощью авторского набора вопросов, основанного на таксономии Блума. Установлено, что вероятность получения правильного ответа практически не зависит от количества параметров настройки, сложности и таксономии, а при наличии множественного выбора — снижается. Полученные результаты подтверждают предположение о невозможности применения современных инструментов ИИ в профессиональных целях. Предлагаются опции, способные внести значимый вклад в достижение как минимум квазипрофессионального уровня.
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