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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
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.