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Course Outline
Introduction to GPT-4o
- Overview of generative pre-trained transformers
- Evolution from GPT-3 to GPT-4o
- Understanding multimodal AI
GPT-4o Architecture
- Deep dive into the technical aspects
- Language, vision, and audio processing capabilities
- Integration of multimodal inputs and outputs
Working with GPT-4o
- Setting up the GPT-4o environment
- Utilizing the GPT-4o API for projects
- Hands-on exercises and mini-projects
Applications of GPT-4o
- Real-world use cases across different industries
- Creative and academic applications
- Limitations and challenges
Ethical Considerations
- Responsible AI use
- Bias and fairness in AI systems
- Future implications and societal impact
Advanced Topics and Research
- Exploring the frontiers of AI with GPT-4o
- Contributing to OpenAI's research
- Collaborative projects and community engagement
Project and Assessment
- Creating an innovative application using GPT-4o
- Final project presentation
- Evaluation and feedback
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning concepts
- Familiarity with previous versions of GPT (GPT-3, etc.)
- Experience with programming languages (Python recommended)
Audience
- Developers
- Data scientists
- Educators and researchers focusing on AI and machine learning
14 Hours
Testimonials (4)
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
I like the way Sonia interact with audience, she made the webinar alive not boring like others webinar. I also got surprised by the ChatGPT and really impress.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Course - ChatGPT for Accounting
His way of gaining audience
Venkata Narasimha Murthy - 6Point6
Course - ChatGPT for Automation
Practical examples in Insurance
