Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
IEEE

Bearing Fault Diagnosis Based on Sparse Wavelet Decomposition and Sparse Graph Connection Using GraphSAGE

Abstract: This paper proposes a new bearing fault diagnosis method which combines sparse wavelet decomposition and graph neural network with sparse connectivity. In our proposed method, the original ...
GitHub

seanippolito/self-hosting-guide

Gatus is a developer-oriented health dashboard that gives you the ability to monitor your services using HTTP, ICMP, TCP, and even DNS queries as well as evaluate the result of said queries by using a ...