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Duration 14 hours
Course Outline
Introduction to GPT-4o
- A broad look at generative pre-trained transformers
- The developmental journey from GPT-3 to GPT-4o
- Decoding the concept of multimodal artificial intelligence
GPT-4o Architecture
- An in-depth exploration of technical components
- Capabilities in processing language, visual data, and audio
- Combining multimodal inputs with varied output formats
Practical Use of GPT-4o
- Preparing the necessary environment for GPT-4o
- Applying the GPT-4o API to practical projects
- Engaging in hands-on tasks and small-scale projects
GPT-4o in Practice
- Practical examples from various sectors
- Applications in creative and educational fields
- Identifying current limitations and potential hurdles
Ethical Perspectives
- The importance of responsible AI deployment
- Addressing bias and ensuring fairness in AI systems
- Long-term societal effects and future implications
Advanced Concepts and Research
- Pushing the boundaries of AI through GPT-4o
- Opportunities to contribute to OpenAI’s research efforts
- Participation in collaborative projects and community activities
Capstone Project and Evaluation
- Developing a unique application powered by GPT-4o
- Presenting the final project
- Receiving evaluation and constructive feedback
Recap and Future Directions
Requirements
- A foundational grasp of artificial intelligence and machine learning principles
- Exposure to earlier GPT models, such as GPT-3
- Proficiency in programming, with a particular emphasis on Python
Target Audience
- Software developers
- Data scientists
- Academic researchers and educators 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.
