all AI news
Hyena Hierarchy: Towards Larger Convolutional Language Models
Feb. 22, 2023, 7:52 a.m. | Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
Blog Content - TOGETHER www.together.xyz
Transformers due to their ability to learn at scale. However, the core
building block of Transformers, the attention operator, exhibits quadratic
cost in sequence length, limiting the amount of context accessible.
attention building context core cost deep learning language language models learn research scale transformers
More from www.together.xyz / Blog Content - TOGETHER
Flash-Decoding for long-context inference
6 months, 2 weeks ago |
www.together.xyz
Faster inference enables up to 5x price reduction on Together API
8 months, 2 weeks ago |
www.together.xyz
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Scientist
@ Publicis Groupe | New York City, United States
Bigdata Cloud Developer - Spark - Assistant Manager
@ State Street | Hyderabad, India