A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

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Amid tariff uncertainty, investors are bracing for more stock market volatility. The turmoil could be even more unnerving for those nearing retirement. But there's a strategy that could help preserve ...

The film is an educational tutorial on division aimed at helping a student named Bob understand the concept of division using place value, dividends, divisors, and quotients. It explains how to divide ...

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Large language models (LLMs) are increasingly being deployed on edge devices—hardware that processes data locally near the data source, such as smartphones, laptops, and robots. Running LLMs on these ...

Abstract: In this study, a novel homogenization method based on the B-input Cauer ladder network (CLN) method, which is a new variant of the CLN method, is proposed. This method yields complex ...