Course Outline

Introduction to GPT-4o

  • Overview of generative pre-trained transformers
  • Evolution from GPT-3 to GPT-4o
  • Understanding multimodal AI

GPT-4o Architecture

  • Deep dive into the technical aspects
  • Language, vision, and audio processing capabilities
  • Integration of multimodal inputs and outputs

Working with GPT-4o

  • Setting up the GPT-4o environment
  • Utilizing the GPT-4o API for projects
  • Hands-on exercises and mini-projects

Applications of GPT-4o

  • Real-world use cases across different industries
  • Creative and academic applications
  • Limitations and challenges

Ethical Considerations

  • Responsible AI use
  • Bias and fairness in AI systems
  • Future implications and societal impact

Advanced Topics and Research

  • Exploring the frontiers of AI with GPT-4o
  • Contributing to OpenAI's research
  • Collaborative projects and community engagement

Project and Assessment

  • Creating an innovative application using GPT-4o
  • Final project presentation
  • Evaluation and feedback

Summary and Next Steps

Requirements

  • Basic understanding of AI and machine learning concepts
  • Familiarity with previous versions of GPT (GPT-3, etc.)
  • Experience with programming languages (Python recommended)

Audience

  • Developers
  • Data scientists
  • Educators and researchers focusing on AI and machine learning
 14 Hours

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