Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives
neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability, ...
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New to LLMs? Start Here | Towards Data Science
to start studying LLMs with all this content over the internet, and new things are coming up each day. I’ve ...
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Prototyping Gradient Descent in Machine Learning
Learning Supervised learning is a category of machine learning that uses labeled datasets to train algorithms to predict outcomes and ...
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Inside Anthropic’s First Developer Day, Where AI Agents Took Center Stage
“Something like over 70 percent of [Anthropic’s] pull requests are now Claude code written,” Krieger told me. As for what ...
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Fire Breaks Out at a Data Center Leased by Elon Musk’s X
A fire broke out Thursday morning at a data center in Hillsboro, Oregon, leased by Elon Musk’s X, forcing an ...
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DOGE Used Meta AI Model to Review Emails From Federal Workers
Elon Musk’s so-called Department of Government Efficiency (DOGE) used artificial intelligence from Meta’s Llama model to comb through and analyze ...
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A United Arab Emirates Lab Announces Frontier AI Projects—and a New Outpost in Silicon Valley
An academic lab in the United Arab Emirates today launched an artificial intelligence world model and agent, two large language ...
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AI Is Eating Data Center Power Demand—and It’s Only Getting Worse
AI’s energy use already represents as much as 20 percent of global data-center power demand, research published Thursday in the ...
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What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us
and superb capabilities of widely available LLMs has ignited intense debate within the educational sector. On one side they offer ...
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The Time Sam Altman Asked for a Countersurveillance Audit of OpenAI
Dario Amodei’s AI safety contingent was growing disquieted with some of Sam Altman’s behaviors. Shortly after OpenAI’s Microsoft deal was ...
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