Prompt Engineering - Understanding Large Language Models with ChatGPT

This course aims to help learners understand the internals and technology behind large language models using a combination of Prompt Engineering and ChatGPT. By the end of the course, students will be able to grasp concepts such as Transformer architecture, Keywords Generation, Text embedding, Encoder and Decoder, Self attention, Multi-head self attention, Scaled Dot Product Attention, and key deep learning methods. The teaching method involves a video presentation with a detailed timeline covering various topics related to large language models. This course is intended for individuals interested in artificial intelligence, deep learning, natural language processing, and the workings of large language models like ChatGPT and DALL-E.