Unleashing Innovation: The Generative AI Revolution

We find ourselves in a society where the line between what is created by humans, and what is created by machines, is increasingly blurred. Generative AI has been a turning point in how we create, design, and interact with technology. But how does it work, what are the benefits beyond novelty and what are the risks?

Join us for an approachable introduction into how Generative AI works in a no-nonsense, understandable way; and how we can use this technology not just as a stand-alone tool, but in collaborative partnership to responsibly drive innovation and transformation.

This course is intended for:

• Non-technical enthusiasts
• Technical enthusiasts
• Decision makers

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By the end of this session, attendees will be able to:

• Define artificial intelligence, machine learning, and the three types of machine learning
• Describe how machine learning algorithms learn and subsequently output a machine learning model
• Understand the difference between traditional machine learning algorithms and deep learning algorithms
• Describe how artificial neural networks work
• Understand the difference between discriminative (predictive) AI and generative AI
• Describe how Large Language Models (LLMs) are trained and used for text generation
• Understands the purpose and importance of Foundation Models (FMs) and how prompt engineering and fine-tuning can be used to customize FMs.
• Describe how diffusion models are trained and used for image generation
• Describe the practical applications of generative AI
• Identify issues surrounding responsible and inclusive use of generative AI