Kaplan et al. 2020

Study / Research

Referred to multiple times as the 'OpenAI's neural scaling loss paper,' it is a foundational work on scaling laws, particularly regarding compute, dataset size, and parameters.

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Videos Mentioning Kaplan et al. 2020

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling Laws

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling Laws

Stanford Online

Referred to multiple times as the 'OpenAI's neural scaling loss paper,' it is a foundational work on scaling laws, particularly regarding compute, dataset size, and parameters.