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 ...
Pillow is the friendly PIL fork by Jeffrey A. Clark and contributors. PIL is the Python Imaging Library by Fredrik Lundh and contributors. As of 2019, Pillow development is supported by Tidelift. The ...
Abstract: In this paper we show how applications in computational economics can take advantage of modern parallel architectures to reduce the computation time in a wide array of models that have been, ...
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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