5 Free Tools to Experiment with LLMs in Your Browser
Discover five free tools that let you run and test large language models directly in your browser without any setup.
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Eco-driving measures could significantly reduce vehicle emissions
Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience — unproductive vehicle idling could contribute as much as 15 percent of the carbon dioxide emissions from U.S. land transportation. A large-scale modeling study led by MIT researchers reveals that eco-driving measures, which can involve dynamically adjusting vehicle speeds to reduce stopping and excessive […]
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The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel
Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss functions, optimization, gradients, scaling, and interpretation. In this article, we rebuild Linear Regression in Excel, compare the closed-form solution with Gradient Descent, and see how the coefficients evolve step by step. This foundation naturally leads to regularization, kernels, classification, and the dual view. Linear Regression is not just a straight line, but the starting point for many models we will explore next in […]
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Expert Commentary Available: U.S. sees 17% Drop in New Foreign Students
New international student enrollment at U.S. colleges and universities plunged 17% in fall 2025, the steepest non-pandemic decline in over a decade, according to data released today by the Institute of International Education. More than half of the 825 institutions surveyed reported decreases, with a majority citing visa application concerns. lead , Neal McCluskey, Director of Cato’s Center for Educational Freedom, warns: “Dropping international student enrollment is troubling for American higher education and the country. The United States […]
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How to build AI scaling laws for efficient LLM training and budget maximization
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model. To anticipate the quality and accuracy of a large model’s predictions, practitioners often turn to scaling laws: using smaller, cheaper models to try to approximate […]
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KV Cache Optimization via Tensor Product Attention
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
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How to Be an AI Innovator in 2026: Future of Intelligent Tech
As we approach 2026, innovation is no longer limited to large tech companies; individuals, entrepreneurs, and students now have unprecedented access to powerful AI tools and platforms. In other words, the opportunity of being an AI Innovator is more accessible than it has ever been. To thrive in the future, understanding how to imagine, design, and apply intelligent systems is essential to becoming an AI expert. Understanding What It Means to Be an AI Innovator An AI Innovator […]
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Why SNAP Reform Needs More Than Mass Recertification
USDA Secretary Brooke Rollins promises “structural changes to SNAP” after Thanksgiving, following her controversial mass recertification proposal. But Cato’s Romina Boccia and Tyler Turman argue in a new blog post that the real problem isn’t paperwork—it’s incentives. lead , States have zero financial stake in preventing fraud because Washington pays 100% of the benefits costs. Boccia and Turman explain why block-granting SNAP and shifting fiscal responsibility to states would actually strengthen program integrity. If you’d like to set up an interview […]
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Amnesty International report details torture, abuse at immigration detention camps in Florida
submitted by /u/JamesParkes [link] [comments]
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Unlocking Productive Conflict on Your Executive Team
An HBR Executive Masterclass with Amy Gallo.
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