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| 1 | arxiv.org | /abs/2404.07965 | |
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[2404.07965] Rho-1
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Автор |
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| 2 | github.com | /microsoft/rho | |
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12 апр. 2024 г. — Rho - 1 is pre-trained with Selective Language Modeling (SLM). SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline ... |
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| 3 | huggingface.co | /papers/2404.07965 | |
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Paper page - Rho-1
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12 апр. 2024 г. — We introduce a new language model called Rho-1 . Unlike traditional LMs that learn to predict every next token in a corpus, Rho-1 employs Selective Language ... |
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| 4 | www.yeastgenome.org | /locus/S000006369 | |
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RHO1 | SGD
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RHO1 encodes an essential small GTPase in the Rho/Rac subfamily of Ras-like GTPases (8). Other S. cerevisiae Rho GTPases are encoded by RHO2, RHO3, RHO4, RHO5, ... |
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| 5 | ritvik19.medium.com | /papers-explained-13... | |
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Papers Explained 133
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Papers Explained 133 |
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| 6 | www.reddit.com | /r/LocalLLaMA/commen... | |
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Rho-1
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Rho-1 matches DeepSeekMath with only 3% of the pretraining tokens . They achieve this by using a reference model (in this case, a small model they trained on 1. ... |
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| 7 | www.alphaxiv.org | /overview/2404.07965 | |
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Rho-1
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RHO-1 introduces Selective Language Modeling (SLM), a pre-training approach that selectively applies loss to high-value tokens, achieving significant data. |
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| 9 | liner.com | /ko/review/rho1-not-... | |
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Rho-1
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11 апр. 2024 г. — RHO-1은 토큰 효율성을 크게 향상시키고 수학 데이터셋에서 state-of-the-art 결과를 달성 하며, few-shot 정확도와 훈련 속도에서 상당한 개선을 보여 ... |
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