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Duration 14 hours
Course Outline
Introduction to GPT-4o
- A broad look at generative pre-trained transformers
- Tracing the development path from GPT-3 to GPT-4o
- Defining the scope of multimodal AI
GPT-4o Architecture
- An in-depth examination of technical components
- Capabilities for processing language, visual data, and audio
- Combining multimodal inputs with corresponding outputs
Working with GPT-4o
- Configuring the GPT-4o development environment
- Applying the GPT-4o API to real-world projects
- Practical drills and small-scale project implementations
Applications of GPT-4o
- Real-world case studies spanning various sectors
- Usage in creative industries and academic research
- Identifying limitations and potential challenges
Ethical Considerations
- Practices for responsible AI deployment
- Addressing bias and ensuring fairness in AI systems
- Assessing future trends and broader societal effects
Advanced Topics and Research
- Investigating the cutting edge of AI via GPT-4o
- Engaging with OpenAI's ongoing research efforts
- Participating in collaborative initiatives and community activities
Project and Assessment
- Designing a novel application leveraging GPT-4o
- Presenting the final project outcomes
- Receiving evaluation and constructive feedback
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning principles
- Familiarity with earlier iterations of the GPT series (such as GPT-3)
- Proficiency in programming languages, with Python being the preferred choice
Intended Audience
- Software developers
- Data scientists
- Academics and researchers specializing in AI and machine learning
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.