• Prompt Engineering: Skills and Techniques for Obtaining Relevant and Accurate Information

• Information Professionals, Researchers, Academics, Publishers, Book Vendors etc.

This workshop is about prompt engineering which is simply creating prompts that can program Large Language Models (LLMs) like ChatGPT to generate accurate information. The workshop will explore the various types of prompts, their patterns, and effective techniques for refinement and improvement. 

The outcome of this workshop is to have a better understanding of how to effectively and efficiently use LLMs like ChatGPT and their potential to assist in the works of Researchers and Academics. 

 The main objectives include:

• How to apply prompt engineering to effectively work with large language models, like ChatGPT

• How to use LLMs for various tasks including knowledge exploration, prototyping, content production, document summary, and assessment

• The workshop will take place on the 6th of May, 2024. The session will last for a maximum of 6 hours.

2. Understanding ChatGPT and LLMs

1. • GPT Models and LLMs

   • LLMs and Neural Networks

   • ChatGPT Training Data and Understanding Tokens

   • Limited Context and Token Limits

There are no prerequisites. Anyone interested can join this workshop. 

All you need include:

• A computing device with a web browser and access to the internet 

• An OpenAI Account or Google Account or Microsoft Account

  • Click here to setup OpenAI's ChatGPT Chatbot

  • Click here to setup Google's Gemmin's Chatbot

  • Click here to setup Microsoft's Copilot Chatbot

• Dennis Agyemanh Nana Gookyi holds a Bachelor of Science degree in Computer Engineering from Kwame Nkrumah University of Science and Technology (KNUST), Ghana, conferred in 2013. He furthered his academic pursuits, attaining both Master of Engineering and Doctor of Philosophy degrees in Information and Communication Engineering from Hanbat National University (HNU), South Korea, in 2017 and 2021 respectively.

Previously, he served as a Researcher at the Intelligent Image Processing Research Center division of the Korea Electronics Technology Institute (KETI) from 2021 to 2022. Presently, Dr. Gookyi holds the position of Research Scientist at the Electronics Division of the Council for Scientific and Industrial Research, Institute for Scientific and Technological Information (CSIR–INSTI), Ghana.

His scholarly pursuits and professional focus revolve around areas such as Deep Learning Hardware Primitives Design, Tiny Machine Learning (TinyML) Hardware Implementation, System-on-Chip (SoC) Design, and Lightweight Cryptography.