Transforming Generative Ai Into Domain-savviness Via In-context Learning And A Dash Of Data Engineering Seems Promising, Says Ai Ethics And Ai Law

Dr. Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) and Machine Learning (ML). This article examines the dilemma of whether it is better to data train and devise generative AI on a generic jack-of-all-trades basis or a highly specialized basis in a particular domain of interest. It discusses the pros and cons of both approaches and how they can be applied to the advent of generative AI or large language models (LLMs).