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