Different Schools of Thought in Natural Language Processing and the Dominance of Language Models

This chapter explores the various schools of thought in NLP and debates whether machine learning and neural networks are sufficient for common sense reasoning. The speaker expresses their view that while current language models have limitations, they could be enhanced through minor modifications or integration with other methods, and also discusses the prominence of large language models in AI.