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Revolutionizing Healthcare: Stella, the World's First AI-Driven Virtual Wellness Coach, Takes Center Stage in the US

Revolutionizing Healthcare: Stella, the World's First AI-Driven Virtual Wellness Coach, Takes Center Stage in the US
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Zereans Jess , Mental Health , United We Care Primary Research , United We Care Inc , Us Mental Health Landscape , Mental Health Emerges , Global Insights , Health Landscape , First Generative , Virtual Wellness , Question Generation , Wellness Coach , Ounited We Care ,

ChatGPT : Master homework and assignments without cheating

This guide provides an overview of how ChatGPT AI can be used to master homework and assignments without cheating. Allowing students to learn ....

Guiding Research , Research Assistance , Writing Skills , Customized Quizzes , Question Generation , Student Projects , Ethical Use , Background Information , Auditory Aids , Learning Experiences , Directed Practice , Learning Paths , Ready Written Essays , Homework Helpers , Essay Mills , Learning Opportunities , Book Exams , Study Based Exams , Based Exams , Group Projects ,

"QDG: A unified model for automatic question-distractor pairs generatio" by Pengju Shuai, Li Li et al.

Generating high-quality complete question sets (for example, the question, answer and distractors) in reading comprehension tasks is challenging and rewarding. This paper proposes a question-distractor joint generation framework (QDG). The framework can automatically generate both questions and distractors given a background text and the specified answer. Our work makes it possible to combine complete multiple-choice reading comprehension questions that can be better applied to educators’ work. While there have been independent studies of question generation and distractor generation in previous studies, there have been few joint question-distractor generation studies. In a past joint generation, distractors could only be constructed by generating questions first and then by sorting the answers with similar words. It was impossible to generate question-distractor pairs in an end-to-end unified joint generation approach. To the best of our knowledge, we are the first to propose an end ....

Attention Mechanism , Istractor Generation , Natural Language Processing , Question Generation ,