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Source channel @githubtrending · Post #15314 · Dec 6

#python#brain_inspired_ai#deep_learning#large_language_models#reasoning The Hierarchical Reasoning Model (HRM) is a new type of AI that reasons more like a human brain, using a fast part for quick details and a slow part for big-picture planning. It solves hard logic tasks like Sudoku, mazes, and IQ-style puzzles very well, even though it is tiny (only 27 million parameters) and learns from very little data (just 1,000 examples). Unlike most large language models, it does not need long chains of written reasoning steps or huge amounts of training, which makes it much faster, cheaper, and more efficient. For the user, this means powerful reasoning in a small, fast system that can run on ordinary hardware and still beat much larger models on tough problems. https://github.com/sapientinc/HRM

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djangoproject

@djangoproject · Post #254 · 02/02/2017, 06:31 PM

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https://groups.google.com/forum/#!topic/pyside-dev/pqwzngAGLWE Dear #Pyside2 contributors, As you might know, Pyside was originally developed for Nokia while it was the owner of the #Qt technology. When Nokia sold Qt to Digia (and now The Qt Company), all the copyrights over the original Pyside code for Qt 4 got transferred to The Qt Company as well. For different reasons, it was not possible for The Qt Company to push Pyside forward as much as we would have wished over the last few years. Fortunately this changed now, and The Qt Company is today in a position, where it can and will invest into Pyside. The goal is to ensure Pyside becomes a fully supported part of the Qt product family, with a similar development and licensing model as the rest of Qt. We want to make sure Pyside works on new Qt releases when they come out and are committed to invest long term into the technology.

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