Jeremy Howard is and artificial intelligence researcher and the co-founder of fast.ai, a platform for non-experts to learn artificial intelligence and machine learning. Prior to starting fast.ai, he founded multiple companies — including FastMail and Enlitic, a pioneer in applying deep learning to the medical field — and was president and chief scientist of machine-learning competition platform Kaggle.

In this interview, Howard discusses what it means for different industries and even global regions now that people without PhDs from specialized research labs can build and work with deep learning models. Among other topics under this broad umbrella, he shares his thoughts on how to best keep up with state-of-the-art techniques, prompt engineering as a new skill set, and the pros and cons of code-generation systems like Codex. Read More