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Course Outline
Getting Started with GPT-4o
- An overview of generative pre-trained transformer technology
- Tracing the progression from GPT-3 to the GPT-4o model
- Gaining insight into the concept of multimodal artificial intelligence
The GPT-4o Framework
- A detailed examination of its technical components
- Exploring capabilities in language, visual, and audio processing
- Managing the flow of multimodal inputs and corresponding outputs
Practical Usage of GPT-4o
- Preparing the necessary environment for GPT-4o
- Leveraging the GPT-4o API for real-world project development
- Participating in hands-on tasks and mini-projects
Real-World Applications of GPT-4o
- Examining practical use cases spanning various sectors
- Discovering opportunities in creative and academic contexts
- Identifying current limitations and technical challenges
Navigating Ethical Responsibilities
- Practicing responsible deployment of AI technologies
- Addressing issues of bias and ensuring fairness in AI systems
- Contemplating the future societal impact and broader implications
Cutting-Edge Topics and Research
- Pushing the boundaries of AI innovation with GPT-4o
- Opportunities to contribute to OpenAI’s ongoing research efforts
- Engaging in collaborative projects and active community participation
Capstone Project and Evaluation
- Developing a unique, innovative application powered by GPT-4o
- Presenting the final project deliverables
- Receiving comprehensive evaluation and constructive feedback
Conclusions and Future Pathways
Requirements
- A foundational grasp of artificial intelligence and machine learning principles
- Prior exposure to earlier iterations of GPT models, such as GPT-3
- Proficiency in programming languages, with Python being the preferred choice
Target Learners
- Software developers
- Data science professionals
- Academics and researchers dedicated to 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.
