ChatGPT Uncovered: The Art of Prompt Engineering with ChatGPT

About this event:

ChatGPT is a large language model created by OpenAI that uses Artificial Neural Networks (ANN) to understand and generate human-like text. It has been trained on massive amounts of data, enabling it to respond to various tasks such as language translation, summarisation, Question-Answering models, and textual content creation.

In this session, we will explore the fascinating world of Natural Language Processing (NLP) and delve into the creative process of crafting prompts to interact effectively with ChatGPT, a state-of-the-art large language model (LLM).

Whether you're a student considering studying computer science, a developer, a content creator, or simply curious about the potential of AI, you'll discover valuable insights and practical tips on how to formulate prompts that yield insightful, coherent, and contextually relevant responses from ChatGPT.

From generating engaging chatbots to enhancing your productivity, this session will empower you with the knowledge and techniques to harness the full potential of ChatGPT through expertly crafted prompts. This session allows you to unlock the artistry of prompt engineering and elevate your AI-driven interactions to new heights.

Speaker’s bio:

Dr. Mahdi Maktabdar Oghaz obtained PhD in computer science from the University Technology Malaysia (UTM) in 2016. His primary research focus during his doctoral studies was computer vision and machine learning in specific accurate skin detection for medical applications. Right after PhD, Mahdi started his career as a postdoctoral researcher at UTM, to work on a research project sponsored by Cyber Security Malaysia and the Ministry of Higher Education Malaysia, aimed to promote safety and security in cyberspace using artificial intelligence and machine learning techniques.

In 2018, he joined Kingston University London ROVIT research team to work on the H2020 MONICA project, which aimed to promote crowd safety and security in large-scale outdoor events using video analytics, artificial intelligence, and computer vision techniques. He progressed his career to Lecturer in 2019 and then senior lecturer in 2023 at the School of Computing and Information Science, Anglia Ruskin University.

As a result of his research career, Dr Mahdi Maktabdar managed to publish several articles in various international journals and conferences. His primary research area includes deep learning and convolutional neural networks, machine learning, crowd analysis, and medical image processing.

This talk is part of our ARU Science and Engineering Master Class series.