AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The benchmarking results provide an overview of the strengths and limitations of current models in addressing veterinary clinical queries and highlight the need for more effective adaptation methods to develop clinically reliable AI systems for veterinary care.
To address the susceptibility of pre-trained language models (PLMs) to spurious correlations in mental health analysis, we propose a robust framework designed to disentangle genuine clinical signals from superficial artifacts. Our approach integrates a contrastive learning method by using masked language modeling (MLM)...
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