Exploring GPT-4o: The Multimodal AI Revolution Training Course
GPT-4o represents the newest version of OpenAI's Generative Pre-trained Transformer series, bringing powerful multimodal features to the table.
This instructor-led live training (available online or onsite) is designed for developers and data scientists ranging from beginner to advanced levels who want to implement and make the most of GPT-4o's multimodal capabilities across various applications.
Upon completing this training, participants will be equipped to:
- Gain a clear understanding of GPT-4o's architecture and how its functions work.
- Apply GPT-4o in projects that demand natural language comprehension and generation.
- Leverage GPT-4o's multimodal strengths for tasks involving image recognition and analysis.
- Combine GPT-4o with current systems to boost AI-driven functionalities.
- Stay informed about ethical guidelines and best practices in AI development.
Course Format
- Engaging lectures and interactive discussions.
- Ample opportunities for exercises and practical practice.
- Hands-on implementation within a live laboratory environment.
Customisation Options for the Course
- For a tailored training experience, please get in touch with us to arrange your session.
Course Outline
Getting Started with GPT-4o
- An overview of generative pre-trained transformers
- The progression from GPT-3 to GPT-4o
- Grasp the concept of multimodal AI
GPT-4o Architecture
- A detailed examination of technical components
- Capabilities in language, vision, and audio processing
- Integration of multimodal inputs and outputs
Working with GPT-4o
- Configuring the GPT-4o environment
- Using the GPT-4o API for project development
- Practical exercises and mini-projects
Applications of GPT-4o
- Real-world use cases across various industries
- Creative and academic applications
- Limitations and challenges
Ethical Considerations
- Responsible utilisation of AI
- Addressing bias and ensuring fairness in AI systems
- Future implications and societal impact
Advanced Topics and Research
- Exploring the cutting edge of AI with GPT-4o
- Contributing to OpenAI's research efforts
- Collaborative projects and community engagement
Project and Assessment
- Developing an innovative application using GPT-4o
- Presentation of the final project
- Evaluation and feedback
Summary and Next Steps
Requirements
- Fundamental knowledge of AI and machine learning principles
- Prior experience with earlier GPT versions (such as GPT-3)
- Proficiency in programming languages (Python is recommended)
Target Audience
- Software Developers
- Data Scientists
- Educators and researchers specialising in AI and machine learning
Open Training Courses require 5+ participants.
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Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
Brett McLaren - Zoll Itamar
Course - ChatGPT for Productivity: A Beginner’s Guide
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