AI, LLMs, and Language
In this series, we expand on our previous exploration of language by considering what computational neural networks may be able to tell us about language and what language may be able to tell us about LLMs – and, ultimately, perhaps, what this all may be able to tell us about teaching and learning.
1) Language, Cognition, and LLMs 2) The Algebra of Language: Unveiling the Statistical Tapestry of Form and Meaning 3) The Pathway of Human Language Towards Computational Precision in LLMs 4) Scaling Our Capacity for Processing Information 5) The Interplay of Language, Cognition, and LLMs: Where Fuzziness Meets Precision 6) LLMs, Statistical Learning, and Explicit Teaching 7) Reviewing Claims I've Made on LLMs