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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.

Oct 11

15:30 - 17:30

Classroom C

Julie Wall, PhD.

Julie Wall, PhD.

Director of Impact and Innovation, UEL

Copy of BRN19 Logos for company page- 45

Dr. Julie Wall is a computer science researcher specializing in intelligent systems for temporal data processing, predominantly in speech and language applications. Dr. Wall applies her knowledge of neural networks to diverse data structures, yielding remarkable results. Dr. Wall develops production-grade deep learning and natural language understanding systems for virtual and augmented reality platforms. Her numerous research papers and patents have made significant contributions to intelligent system design and innovation.


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