Model-Based vs. Model-Free Learning in Deep Learning

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Deep learning is increasingly leveraging model-free approaches like reinforcement learning, stable diffusion, and transformers, highlighting a shift from model-based learning. Combining neural networks to handle complex and difficult-to-model aspects such as physics is gaining traction, leading to innovative approaches in integrating different techniques for optimal results.

ChatGPT has been out for more than a year and has since become the centerpiece of intense discussion and debate about AI.

Christian Hubicki is a renowned robotics research scientist and an Assistant Professor of Mechanical Engineering at Florida State University. In 2023, he was a guest on Software Engineering Daily, where he discussed ChatGPT and its implications with Sean Falconer. Christian now joins Sean again to check in about the state of AI and its future directions.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.