[short] Data Engineering for Scaling Language Models to 128K Context
Study explores continual pretraining for scaling language models' context lengths to 128K, emphasizing data engineering's importance in achieving optimal performance and closing the gap to top models.
https://arxiv.org/abs//2402.10171
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
Видео [short] Data Engineering for Scaling Language Models to 128K Context канала Arxiv Papers
https://arxiv.org/abs//2402.10171
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
Видео [short] Data Engineering for Scaling Language Models to 128K Context канала Arxiv Papers
Комментарии отсутствуют
Информация о видео
16 февраля 2024 г. 8:40:09
00:02:39
Другие видео канала