The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Abstract: Three-dimensional finite-difference time-domain (FDTD) models of the global Earth-ionosphere waveguide were first introduced in the early 2000s. These models have been applied to a wide ...
Welcome to Meridian! Built on a graph-based architecture, Meridian goes beyond simple turn-taking, enabling richer, more nuanced, and highly efficient interactions. Traditional AI chats often struggle ...
A comprehensive Behavior-Driven Development (BDD) test automation framework using Selenium WebDriver for UI testing and Python Requests for API testing, enhanced with BehaveX for parallel execution ...
Abstract: Based on Riemannian geometry of Grassmann manifolds and discrete Laguerre polynomials, we propose a parametric interpolation parallel MOR method for discrete-time parametric systems. First, ...
With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...
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