Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
Electricity bills are on track to rise an average of 8 percent nationwide by 2030 according to a June analysis from Carnegie Mellon University and North Carolina State University. The culprits? Data ...
Silicon Valley entrepreneurs prefer to talk of possibilities rather than obstacles, and of vast revenue opportunities to be seized through sheer force of will. That defiant optimism now faces the ...
Data is the oil that fuels the AI gold rush; machines need it to understand the world and help us solve its most pressing problems. But the way we use, collect and store data is evolving as quickly as ...
A new study found the total value of blocked or delayed data center projects during a three-month stretch earlier this year exceeded the total in the prior two years, signaling accelerating opposition ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...
Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials ...
Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...
Google recently courted the township of Franklin, Ind., so that it could construct a giant campus to house the computer hardware that powers its internet business. But the company needed to rezone ...
Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
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