Machine Learning Evolution

Joseph reflects on the rapid evolution of machine learning around 2012, highlighting the resurgence of neural networks and the rise of graph analysis. He shares his journey from developing systems for data scientists to focusing on research at Berkeley, where he now guides students in advancing technologies for machine learning applications. A key discussion revolves around making BERT models more accessible for training, revealing surprising insights from their research.