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Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...
Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
Despite large language models (LLMs) possessing extensive world knowledge and strong reasoning capabilities, they are widely regarded as excellent few-shot learners; however, they still exhibit ...
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AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...
The meta AI team recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
Sleep disturbances are a key contributor to agitation. Poor sleep quality, characterized by frequent awakenings, insomnia, and fragmented rest, affects up to half of dementia patients in advanced ...
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Pioneering a way to remove private data from AI models
A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...
Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.
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