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3min chapter
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Machine Learning Street Talk (MLST)
Introduction
Delving into the complexity of systems that create their own data endlessly, the chapter discusses challenges in developing self-improving systems and the role of reward functions. The discussion also includes insights on training broad agents using a general world model for diverse tasks in various environments.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode