Explainability, Reasoning, Priors and GPT-3
Machine Learning Street Talk (MLST)
Navigating Language and Math in Machine Learning
This chapter explores the intricacies of modeling scenes and text, highlighting the challenges posed by language relationships and the limitations of current computational resources. It also examines how transformer models can aid in understanding mathematical concepts through natural language, while emphasizing the need for ongoing research in this innovative intersection.
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