Mastering Prompt Engineering to Mitigate Hallucinations in ChatGPT
The growing role of ChatGPT in various applications heightens the need for responsible and effective usage. A key challenge is mitigating
"hallucinations" or instances where the model generates false or nonsensical information. This masterclass offers a hands-on approach to prompt
engineering aimed at reducing hallucinations. Participants will work in real-time with ChatGPT to craft, test, and refine prompts across factual
domains. Through evaluations and discussions, attendees will gain insights into the attributes that make a prompt likely to elicit accurate responses.
Join us to learn practical skills for harnessing the power of ChatGPT while minimizing its limitations.
Time & Place
Oct 11
15:30 - 17:30
Classroom C
Classroom C
60
Meet Your Intructors
Prof. Julie Wall
Professor of AI & Advanced Computing, University of West London
Julie Wall is a Professor of AI and Advanced Computing at the University of West London and a recognized expert in the field of Artificial Intelligence. As a member of the British Standards Institution (BSI), she contributes to shaping industry standards and best practices in AI. Julie’s research focuses on developing intelligent systems for processing and modeling temporal data, with a strong emphasis on speech and language applications.
Her work bridges the gap between cutting-edge AI technologies and practical solutions, driving advancements in understanding and utilizing temporal data in real-world scenarios. Julie is committed to fostering innovation in AI and its applications, making significant contributions to both academia and industry.
Neil Glackin
Head of Research, Intelligent Voice
Cornelius Glackin earned his MSc in Computing & Intelligent Systems from Ulster University in 2004 and a PhD in Spiking Neural Network research there in 2009. With over 15 years of R&D experience, he has published over 50 papers in machine and deep learning. After post-doctoral research at both Ulster and Hertfordshire Universities, he transitioned to the industry. Now, as Head of Research at Intelligent Voice, Cornelius focuses on topics ranging from Neural Machine Translation to Privacy Preserving Computation. He also serves as a consulting data scientist and has secured over £3 million in grant funding for Intelligent Voice R&D through various prestigious projects.