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HAI Postdoctoral Fellowship with Professor Chris Potts, Department of Linguistics Foundation Models (FMs) are enabling researchers to build AI systems at higher levels of abstraction and with lower
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importance of mutations in the targets of HIV therapy 2. Analyzing HIVDB for ground-breaking publications 3. Creating the knowledge bases required to apply our genotypic resistance testing software to other
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settings, from science and engineering to philosophy and law. Our work aims to uncover the fundamental mechanisms that have enabled humans to deploy these cognitive tools in such innovative ways to learn
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understanding of current AI techniques and approaches including supervised and unsupervised machine learning, symbolic AI, and generative AI (including large language models) [technical understanding of one
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to support deliberate practice for socially important topics. The team aims to use large language models to understand contentious topics and to support civil discourse engagement through human-AI
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community partners to test and validate these assessments with children from diverse language, racial/ethnic, and socioeconomic backgrounds to ensure that tasks yield information that is equitable and
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) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education program and the initiative on Learning Differences and the Future of Special Education) gain