In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

Objective: Our objective was to evaluate employing Large Language Models (LLMs) to systematically transform the rich, unstructured textual data from AskDocs into a structured dataset, an approach that ...

Abstract: This paper presents a new category that has been added to the classification of Kim and Ko (2017) for programming learning systems, namely the Online Coding Tutorial System (OCTS) category.

Abstract: This paper presents a gradient-informed fine-tuning method for large language models under few-shot conditions. The goal is to enhance task adaptability and training stability when data is ...

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