New LLM optimization technique slashes memory costs up to 75%
December 13, 2024 6:46 AM
Image credit: Sakana AI
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More
Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications on top of large language models (LLMs) and other Transformer-based models.
The technique, called “universal transformer mem...
Read more at venturebeat.com