People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...

Forbes contributors publish independent expert analyses and insights. There’s an iconic scene in season one of Mike Judge‘s Silicon Valley TV show, where Christopher Evan Welch, playing the character ...

Abstract: Lossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data. The main challenge in lossless ...

Add a description, image, and links to the lossless-compression topic page so that developers can more easily learn about it.

The rapid advancement of large language models (LLMs) has exposed critical infrastructure challenges in model deployment and communication. As models scale in size and complexity, they encounter ...

Although the connection between language modeling and data compression has been recognized for some time, current Large Language Models (LLMs) are not typically used for practical text compression due ...

High-speed lossless data compression of 16 to 512 bytes--get better average compression than QuickLZ for 512-byte blocks. td512 maintains good compression down to 16-byte blocks. This repository ...