Exploring GPT-4o: The Multimodal AI Revolution Training Course
GPT-4o represents the latest iteration of OpenAI's Generative Pre-trained Transformer models, delivering advanced multimodal capabilities.
This instructor-led, live training (available online or onsite) is designed for developers and data scientists ranging from beginner to advanced levels who wish to implement and leverage the multimodal features of GPT-4o across various applications.
By the end of this training, participants will be able to:
- Understand the architecture and core functionalities of GPT-4o.
- Implement GPT-4o in projects requiring natural language understanding and generation.
- Leverage GPT-4o's multimodal capabilities for image recognition and analysis tasks.
- Integrate GPT-4o with existing systems to enhance AI-driven features.
- Stay informed about ethical considerations and best practices in AI development.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical activities.
- Hands-on implementation within a live-lab environment.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
Course Outline
Introduction to GPT-4o
- Overview of generative pre-trained transformers.
- Evolution from GPT-3 to GPT-4o.
- Understanding multimodal AI.
GPT-4o Architecture
- A deep dive into the technical aspects.
- Language, vision, and audio processing capabilities.
- Integration of multimodal inputs and outputs.
Working with GPT-4o
- Setting up the GPT-4o environment.
- Utilising the GPT-4o API for projects.
- Hands-on exercises and mini-projects.
Applications of GPT-4o
- Real-world use cases across different industries.
- Creative and academic applications.
- Limitations and challenges.
Ethical Considerations
- Responsible AI use.
- Bias and fairness in AI systems.
- Future implications and societal impact.
Advanced Topics and Research
- Exploring the frontiers of AI with GPT-4o.
- Contributing to OpenAI's research.
- Collaborative projects and community engagement.
Project and Assessment
- Creating an innovative application using GPT-4o.
- Final project presentation.
- Evaluation and feedback.
Summary and Next Steps
Requirements
- A basic understanding of AI and machine learning concepts.
- Familiarity with previous versions of GPT (e.g., GPT-3).
- Experience with programming languages (Python is recommended).
Audience
- 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
Provisional Upcoming Courses (Require 5+ participants)
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