Exploring the Capabilities and Limitations of Language Models for Artificial Intelligence

This chapter examines the potential of Language Model models for artificial general intelligence, highlighting their strengths in language reasoning but pointing out limitations, particularly in mathematical tasks. The speaker also critiques the transformer architecture used in LLMs and proposes exploring new architectures for improved efficiency and scalability.