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Source channel @githubtrending · Post #15314 · Dec 6

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#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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测速机场：N3RO 测速宽带：广州移动200M 测速时间：0831，4PM 官网：咕咕 清晰测速图：https://bit.ly/2P9XhXJ 测速By-V1测速组 #n3ro 频道：@V1_BLOG 群组：@V1blog_group

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@V1_BLOG · Post #2087 · 04/29/2020, 01:46 PM

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测速机场: N3RO 测速宽带: 广东电信200M 测速时间: 4.29 官网: http://bit.ly/32YVRT5 价格表: https://t.me/V1blog_g/27685 清晰测速图 图一(早上): https://t.me/speedtest_V1/173 图二(晚高峰): https://t.me/speedtest_V1/174 测速By-V1测速组 #n3ro#对比 频道群组投稿

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