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
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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Testimonials (1)
The trainer provided clear explanations, and the topic is highly relevant