Exploring GPT-4o: The Multimodal AI Revolution Training Course
GPT-4o is the latest iteration of OpenAI's Generative Pre-trained Transformer models, offering multimodal capabilities.
This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level developers and data scientists who wish to implement and leverage the multimodal features of GPT-4o in various applications.
By the end of this training, participants will be able to:
- Understand the architecture and functionalities of GPT-4o.
- Implement GPT-4o in projects requiring natural language understanding and generation.
- Utilize GPT-4o's multimodal capabilities for image recognition and analysis tasks.
- Integrate GPT-4o with existing systems to enhance AI-driven features.
- Stay updated with the ethical considerations and best practices in AI development.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
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Testimonials (3)
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
Practical examples in Insurance
Viren - Hollard Insure
Course - ChatGPT
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