2 papers
cs.LG2024
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Jordan Dotzel, Yuzong Chen, Bahaa Kotb +5
The increasing size of large language models (LLMs) traditionally requires low-precision integer formats to meet strict latency and power demands. Yet recently, alternative formats…
cs.CV2024
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel
Jordan Dotzel, Bahaa Kotb, James Dotzel +2
Traditional methods, such as JPEG, perform image compression by operating on structural information, such as pixel values or frequency content. These methods are effective to bitra…