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Test and Evaluation of Large Language Models and Generative AI Applications

Practical Workshop

Test and Evaluation of Large Language Models and Generative AI Applications

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.

Workshops will be run in Brisbane, Melbourne, Canberra and Sydney.

Key information

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 

 

What's included?

  • Expert Workshops

    Learn from leading industry experts in tech and business.

  • Interactive Sessions

    Engage in interactive sessions that facilitate collaborative learning and discussion among participants.

  • Networking Opportunities

    Connect with peers and industry who share a common interest in AI deployment and governance. An optional lunch will be organised after the workshop.

Who is it for?

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.

Where is it delivered?

📍 Upcoming workshops in Melbourne, Canberra, Sydney and Brisbane 

Participants have to join in-person to attend the program. 

How to register?

and we will get back to you with further details

More Questions?

Reach out to KJR at info@kjr.com.au if you have any questions. 

This program is delivered by KJR. KJR is a founding member of the Queensland AI Hub

KJR is an Australian Software Quality Engineering Consultancy and a leading practitioner in Responsible AI implementation. Founded on over 26 years of experience in quality assurance and verification, KJR has always understood the importance of managing IT risk and especially do so now with the steady maturation of various emerging technologies. We recognise the potential of Artificial Intelligence and Machine Learning and see the specific challenges these technologies pose to traditional forms of quality assurance. We have harnessed our expertise to develop practical approaches to assuring compliant and successful deployments of AI solutions. 

Your Trainers

Dr Kelvin Ross
KJR Founder

Dr Kelvin Ross is an entrepreneur, technologist and researcher. He is the founder and Chairman of KJR, CTO to Datarwe, Director of the Queensland AI Hub, and IntelliHQ, developing the ecosystem for AI innovation in healthcare. He is an Adjunct Associate Professor at the Institute for Intelligent and Integrated Systems, Griffith University. He has over 30 years of experience in software engineering and enterprise IT applications. Kelvin holds a PhD in safety critical systems engineering he is a firm believer of AI’s added value to the Community. 

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Dr Mark Pedersen
KJR CTO

Mark is an IT professional with a passion for digital culture. During the week, he leads his team at KJR through straight-talking solutions to software problems. In his spare time, he can be found crafting soundscapes and audio/visual installations that embrace technology’s propensity for playfulness and expression. As CTO, Mark’s technical knowledge and lateral thinking abilities are counted on to lead critical software projects safely out of the red and into the light. And, as a world-class software risk analyst and advisor, he thrives on the satisfaction of bettering lives with technology that actually works.

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