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Course Outline
Introduction to GPT-4o
- Overview of generative pre-trained transformers
- The progression from GPT-3 to GPT-4o
- Comprehending multimodal AI concepts
GPT-4o Architecture
- In-depth examination of technical components
- Capabilities in processing language, vision, and audio
- Synthesizing multimodal inputs and outputs
Operating with GPT-4o
- Configuring the GPT-4o development environment
- Employing the GPT-4o API for project development
- Practical exercises and mini-projects
Practical Applications of GPT-4o
- Real-world scenarios across various sectors
- Uses in creative and academic fields
- Addressing limitations and associated challenges
Ethical Perspectives
- The practice of responsible AI utilization
- Mitigating bias and ensuring fairness in AI systems
- Long-term societal impacts and future directions
Advanced Concepts and Research
- Investigating the cutting edge of AI via GPT-4o
- Engaging with OpenAI's research initiatives
- Collaborative efforts and community participation
Project Development and Assessment
- Developing a novel application utilizing GPT-4o
- Presentation of the final project
- Evaluation process and constructive feedback
Conclusion and Future Directions
Requirements
- A foundational grasp of artificial intelligence and machine learning principles
- Prior exposure to earlier iterations of GPT, such as GPT-3
- Proficiency in programming languages, with a preference for Python
Target Audience
- Software developers
- Data scientists
- Academics and researchers specialized 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.