3min chapter

Machine Learning Street Talk (MLST) cover image

Taming Silicon Valley - Prof. Gary Marcus

Machine Learning Street Talk (MLST)

CHAPTER

Exploring the Capabilities and Limitations of Language Models in Chess

This chapter examines the performance of large language models, like GPT-4, in playing chess, highlighting their inability to make legal moves consistently. It also discusses the impact of input quality on model output, drawing parallels to human behavior and the effects of database variations.

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