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 Duration 14 hours

Course Outline

Introduction to GPT-4o

  • A broad look at generative pre-trained transformers
  • Tracing the development path from GPT-3 to GPT-4o
  • Defining the scope of multimodal AI

GPT-4o Architecture

  • An in-depth examination of technical components
  • Capabilities for processing language, visual data, and audio
  • Combining multimodal inputs with corresponding outputs

Working with GPT-4o

  • Configuring the GPT-4o development environment
  • Applying the GPT-4o API to real-world projects
  • Practical drills and small-scale project implementations

Applications of GPT-4o

  • Real-world case studies spanning various sectors
  • Usage in creative industries and academic research
  • Identifying limitations and potential challenges

Ethical Considerations

  • Practices for responsible AI deployment
  • Addressing bias and ensuring fairness in AI systems
  • Assessing future trends and broader societal effects

Advanced Topics and Research

  • Investigating the cutting edge of AI via GPT-4o
  • Engaging with OpenAI's ongoing research efforts
  • Participating in collaborative initiatives and community activities

Project and Assessment

  • Designing a novel application leveraging GPT-4o
  • Presenting the final project outcomes
  • Receiving evaluation and constructive feedback

Summary and Next Steps

Requirements

  • Foundational knowledge of AI and machine learning principles
  • Familiarity with earlier iterations of the GPT series (such as GPT-3)
  • Proficiency in programming languages, with Python being the preferred choice

Intended Audience

  • Software developers
  • Data scientists
  • Academics and researchers specializing in AI and machine learning

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