Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
Abstract: The issue of code plagiarism represents a significant challenge in the academic environment. This study examines the potential of large language models (LLMs) in improving the detection of ...
Written from a clinical perspective, it aims to make the concepts accessible to a broad audience, especially medical practitioners. Key topics include identifying useful data sources, defining the ...
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