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3 resources

  • Annenberg Institute at Brown...
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    Jun 3rd, 2023
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    report
    Annenberg Institute at Brown...
    Jun 3rd, 2023

    Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage dialogic teaching practice that makes students feel heard. We conduct a randomized controlled trial in an online computer science course (n=1,136...

  • Rishi Bommasani, Drew A. Hudson, Ehsan A...
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    Oct 24th, 2021
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    journalArticle
    Rishi Bommasani, Drew A. Hudson, Ehsan A...
    Oct 24th, 2021

    AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We call these models foundation models to underscore their critically central yet incomplete character. This report provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical...

  • Rishi Bommasani, Drew A. Hudson, Ehsan A...
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    Jul 12th, 2022
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    preprint
    Rishi Bommasani, Drew A. Hudson, Ehsan A...
    Jul 12th, 2022

    AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We call these models foundation models to underscore their critically central yet incomplete character. This report provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical...

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