Exploring Next
Exploring Next — Ep 156 w/ Justy & Cody — Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
This episode explores the innovative PLaT framework for reasoning in large language models, which introduces a two-part system separating reasoning from verbalization. It addresses the challenges of computational efficiency and interpretability, paving the way for more effective AI solutions across various domains. By discussing practical implications and potential use cases, we highlight how this research can transform the landscape of AI applications and improve user experiences.