Scaling Laws for Natural Language Models

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When you create a language model there are a number of competing factors you can set. This week Roger walked through a paper that presented observations on the effects of different factors in getting good model performance. The paper compares data Scale versus Shape, Batch size, and other factors. In the end it presents a summary of the Scaling Laws for parameters.

*Links*

*Content*
00:00 Introduction
07:30 Model parameters
36:12 Scale vs. Shape
20:51 Batch size
55:56 Scaling law summary
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