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.
Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...
The combine harvester is a widely used piece of agricultural equipment in modern agriculture, and the seed loss rate is one of the important indexes used to measure its operational performance, so the ...
College of Electromechanical Engineering, Anyang Vocational and Technical College, Anyang, China Introduction: Fault diagnosis analysis of mechanical equipment is greatly significant for maintaining ...
ABSTRACT: In this article, we propose developing a reliable and sensitive method for determining tryptamine (TRYP) levels in canned fish samples using spectrofluorimetric analysis. The analytical ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. Speaking to the Conference of Mayors Friday ...
Abstract: SSVEP-based brain-computer interface (BCI) systems have received a lot of attention due to their relatively high Signal to Noise Ratio (SNR) and less training requirements. Most of the ...
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