ChatGPT for Researchers

This course is an introduction to ChatGPT and similar large language models. It will cover an introduction with intuitive explanation of what are large language models. We will continue with use cases of ChatGPT’s web-based interface, focusing on how it can assist researchers in various tasks, including providing instant access to a vast range of information, facilitating brainstorming, generating ideas, and summarizing complex concepts. It can also assist in reviewing and editing research documents, proposing research questions, and helping researchers understand complex methodologies and techniques in various disciplines. We will discuss the deficiencies of the technology, including the provision of inaccurate or outdated information and lack of understanding or context awareness, reflecting limitations in its training data and the absence of real-world experience or subjective perception. The course will showcase the use of ChatGPT’s application programming interface (API) and its advanced uses, including AutoGPT. Restrictions/Prerequisites: The course will be promoted by the University’s Doctoral School, and we expect enrollment from students of engineering, natural sciences, and humanities. The course is not intended for computer science students or students whose curricula already included courses on machine learning or data science. No prior knowledge on the topics of large language models or computer programming is assumed. This is an introductory course intended for general audience. Students from humanities, social sciences, natural sciences and engineering are welcome.