QLD AI Hub x KJR Workshops - Melbourne

Workshop One - AI Executive Workshop - 9:30AM - 11:30AM

This two-hour workshop aims to equip executives and business leaders with essential knowledge about deploying and managing AI systems responsibly and ethically, blending conceptual understanding with practical insights. It’s designed to enable business leaders to make informed decisions about AI deployment and governance in their organisations, fostering the application of AI systems which is not only effective but also responsible and ethical.

This workshop is not intended for technical practitioners or entry-level staff; rather, it is tailored for high-level decision-makers who hold strategic roles within their organisations and are responsible for overseeing AI initiatives. 

Key information

• Face-to-face Workshop
• 2 Hours
• Workshop dates coming soon
• Price: $200 ex-GST
• Attendees: C-Suite Executive only

Workshop topics:

⚡ Principles of Trustworthy AI 

Defining Trustworthy AI, Ethical AI Frameworks, Risk Management in AI 

⚡ Strategies for AI Deployment 

Aligning AI with Business Strategy, AI Project Lifecycle, Case Studies 

⚡ Governance of AI Applications 

Governance Frameworks, Regulatory Compliance, Ongoing Monitoring and Evaluation 

⚡ Open Discussion and Q&A 

Workshop Two - Test and Evaluation of Large Language Models and Generative AI Applications - 1PM - 5PM

This practical half-day workshop is designed to provide participants with a practical understanding of the process of testing and evaluating large language models and related generative AI applications for use in a business context.

This workshop is intended for technical practitioners and any professionals looking to understand the process of testing and evaluating LLMs and related generative AI applications for use in a business context.

Key information

• Face-to-face Workshop
• Half-Day
• Workshop dates coming soon
• Price: $500 ex-GST

Course topics:

Session 1:

Evaluating Large Language Models

⚡ Introduction to Large Language Models 

Overview of LLMs, Key Characteristics of LLMs 

⚡ Testing Large Language Models  

Testing in LLM Development, Types of Tests, Test Case Design 

⚡ Evaluation Metrics and Techniques

Common Metrics, Qualitative Evaluations, Challenges 

⚡ Practical Exercise

Hands-on Exercise, Group Discussion

Session 2:

Practical Techniques and Best Practices in LLM Testing

⚡ Advanced Testing Techniques 

Uncovering Biases & Ensuring Fairness, Testing for Robustness, Scenario-based Testing 

⚡ Optimizing LLMs Through Iterative Testing  

Iterative Development, Feedback Loops, Case Studies

⚡ Best Practices and Future Directions 

Best Practises, Emerging Trends, Ethical Considerations & Responsible AI 

⚡ Interactive Session

Applying Advanced Testing Techniques 

⚡ Wrap up

Key Takeaways, Resources, Conclusion