From ML to AI to Generative AI

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.

ai artificial intelligence changelog chris computer vision daniel data data science deep learning family generative gpt landscape look machine learning midjourney neural networks science solutions supervised learning talk through