New York, NY, Sept. 27, 2025 (GLOBE NEWSWIRE) -- Announcement and strategic context ...
Schizophrenia is a chronic mental health disorder characterized by hallucinations, delusions, disorganized thinking and ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
This tool can reduce the training time of large-scale machine learning models by half while maintaining performance. This is undoubtedly a significant breakthrough for researchers and developers ...
Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
Abstract: In this paper, we analyze the performance of three large language models (LLMs) - Llama3, Gemma2, and Mistral - using various combinations of prompt engineering techniques, focusing on the ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Using multiple modelling approaches to explore a particular causal pathway helps to compare results ...
Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...
Abstract: The strict arcsine model of the natural exponential family with cubic variance function is a feasible alternative for statistical analysis of overdispersed count data. Following from this ...
Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward general-purpose robot algorithms.
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