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Course Outline

Introduction to GPT-4o

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

GPT-4o Architecture

  • A deep dive into the technical specifications.
  • Capabilities in language, vision, and audio processing.
  • Integration of multimodal inputs and outputs.

Working with GPT-4o

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

Applications of GPT-4o

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

Ethical Considerations

  • Responsible AI usage.
  • Addressing bias and ensuring fairness in AI systems.
  • Future implications and societal impact.

Advanced Topics and Research

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

Project and Assessment

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

Summary and Next Steps

Requirements

  • Fundamental knowledge of AI and machine learning concepts.
  • Familiarity with earlier iterations of GPT (such as GPT-3).
  • Programming experience (Python is recommended).

Audience

  • Software Developers.
  • Data Scientists.
  • Educators and researchers specializing in AI and machine learning.
 14 Hours

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