Titans: Learning to Memorize at Test Time - Google Research
Автор: View Papr
Загружено: 2026-02-24
Просмотров: 9
Описание: Highly recommend checking out the new "Titans" architecture (arXiv:2501.00663). It tackles the Transformer memory bottleneck by introducing a "Neural Long-Term Memory" module that actively memorizes historical data into its weights at test time. The result is a highly efficient model that effortlessly handles 2M+ token context windows and outperforms both Transformers and modern recurrent models like Mamba. A massive leap forward for long-context AI! https://arxiv.org/abs/2501.00663
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: