Is there an Epstein connection to our Downsize strategy?
Thomas Massie shows the way The post Is there an Epstein connection to our Downsize strategy? appeared first on Downsize DC.
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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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Watermarking and Forensics for AI Models, Data, and Deep Neural Networks
In my previous paper posted here, I explained how I built a new class of non-standard deep neural networks, with various case studies based on synthetic data and open-source code, covering problems such as noise filtering, high-dimensional curve fitting, and predictive analytics. One of the models featured a promising universal function able to represent any type of smooth response, while leading to fast convergence. Here I explore weight sensitivity and distillation. The words weight and parameter are used […]
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Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained
Understanding AI in 2026 — from machine learning to generative models The post Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained appeared first on Towards Data Science.
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BNY builds “AI for everyone, everywhere” with OpenAI
BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes.
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Prompt Engineering for Outlier Detection
Learn how to detect outliers by doing a real-life data project and improve the process with AI.
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Where Speed Meets Strategy
An HBR Executive exclusive Q&A with Zak Brown, CEO of McLaren Racing.
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Sheriff suspended, indicted after confrontation with another officer
submitted by /u/abz_eng [link] [comments]
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How confessions can keep language models honest
OpenAI researchers are testing “confessions,” a method that trains models to admit when they make mistakes or act undesirably, helping improve AI honesty, transparency, and trust in model outputs.
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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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