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Course Outline

Getting Started with GPT-4o

  • An overview of generative pre-trained transformers
  • The progression from GPT-3 to GPT-4o
  • Grasp the concept of multimodal AI

GPT-4o Architecture

  • A detailed examination of technical components
  • Capabilities in language, vision, and audio processing
  • Integration of multimodal inputs and outputs

Working with GPT-4o

  • Configuring the GPT-4o environment
  • Using the GPT-4o API for project development
  • Practical 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 utilisation of AI
  • Addressing bias and ensuring fairness in AI systems
  • Future implications and societal impact

Advanced Topics and Research

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

Project and Assessment

  • Developing an innovative application using GPT-4o
  • Presentation of the final project
  • Evaluation and feedback

Summary and Next Steps

Requirements

  • Fundamental knowledge of AI and machine learning principles
  • Prior experience with earlier GPT versions (such as GPT-3)
  • Proficiency in programming languages (Python is recommended)

Target Audience

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

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