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[PDF] AI in Academic Research: Mastering GPT-4 and Claude 3.5 Sonnet ...

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This article outlines a workshop designed to teach faculty, students, and library staff advanced applications of GPT-4 and Claude 3.5 Sonnet in academic research. It covers prompt engineering, multimodal capabilities, research-specific applications, and ethical considerations, aiming to enhance research efficiency and creativity through responsible AI integration.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive coverage of advanced AI applications in academic research.
    • 2
      Detailed agenda and clear learning objectives for participants.
    • 3
      Emphasis on practical application through hands-on activities and examples.

  • • unique insights

    • 1
      Integration of multimodal capabilities for data analysis and interpretation.
    • 2
      Specific strategies for ethical AI use, including attribution and bias mitigation in academia.

  • • practical applications

    • Provides actionable steps and techniques for researchers to immediately integrate GPT-4 and Claude 3.5 Sonnet into their workflows, enhancing efficiency and innovation.

  • • key topics

    • 1
      GPT-4
    • 2
      Claude 3.5 Sonnet
    • 3
      Academic Research
    • 4
      Prompt Engineering
    • 5
      Multimodal AI
    • 6
      Ethical AI in Research

  • • key insights

    • 1
      Focuses on advanced, research-specific applications of cutting-edge AI models.
    • 2
      Offers practical, hands-on learning opportunities for immediate skill development.
    • 3
      Addresses critical ethical considerations for responsible AI integration in academia.

  • • learning outcomes

    • 1
      Participants will be able to apply advanced prompt engineering techniques to complex research tasks.
    • 2
      Learners will understand how to leverage multimodal AI capabilities for data analysis and interpretation.
    • 3
      Attendees will develop strategies for ethical and efficient integration of AI into their research workflows.
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Table of contents

     Original link: https://rayuzwyshyn.net/AIWorkshopMaterialsCertifications/IntermediateAdvancedAICourse/IntermediateAdvanacedSessionCurriculumandDescriptionsR3.pdf

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