Towards General-Purpose Language-Enabled Agents: Machines that can Read, Think and Act - 2023
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the potential of language-enabled agents in this thought-provoking lecture by Karthik Narasimhan from Princeton University. Delve into the exciting opportunities presented by large language models (LLMs) for building artificial agents with enhanced decision-making capabilities. Discover how these agents can execute complex action sequences, learn new skills through reading, and allow for easier personalization and control. Examine various use cases, including multi-hop question answering, web interaction, and robotic tool manipulation. Gain insights into the challenges and potential dangers associated with LLM-based systems, and consider the future implications for safe and effective implementation of these technologies.