Don't start with ChatGPT, start with the map

One of the “sins” of the sprawling new disciplines is vague terminology: different people come up with different names because the space is not yet occupied and the industry is still very young and growing rapidly. Take “AI” for example: nowadays it is large language models and specifics all around them. Tokens, context windows, hallucinations… In fact, the term AI itself is confusing because it is just too broad and undefined. In computer science and engineering classes–when teaching machine learning–the following diagram is used: deep learning (DL) is placed as a subset of machine learning (ML), which itself is a subset of artificial intelligence (AI). It looks like this: Venn Diagram showing the overlap of AI, ML, DL, and DS. Source: Kaggle Similarly, nowadays people throw the terms all over the place—on YouTube, in blogs or chats, podcasts, wherever... Problem is this does not help the novice understand the field better—it makes it harder and more confusing. How do I know? Because…