IEEE

A Fast Intermittent Fault Diagnosis Algorithm for a Class of Data Center Networks

Abstract: As a data center network (DCN) constructed using recursive modules, BCube enables efficient communication for decentralized machine learning systems. Its various variants, such as RCube and ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Microsoft

Greedy Information Projection for LLM Data Selection

We present emph{Greedy Information Projection} (textsc{GIP}), a principled framework for choosing training examples for large language model fine-tuning. textsc{GIP} casts selection as maximizing ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...