What’s wrong with LLMs and what we should be building instead.

A presentation by Thomas G. Dietterich, emeritus professor of computer science at Oregon State University, a pioneer of the field of machine learning. “This talk will review these shortcomdifferentings and current efforts to address them within the existing LLM framework. It will then argue for a , more modular architecture that decomposes the functions of existing LLMs and adds several additional components. We believe this alternative can address all of the shortcomings of LLMs. We will speculate about how this modular architecture could be built through a combination of machine learning and engineering.” ~ learn more