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fix a typo #19

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -5,7 +5,7 @@ _Built With: Python 3.11.9_
## Introduction
This project creates bulleted notes summaries of books and other long texts, particularly epub and pdf which have ToC metadata available.

When the ebooks contain approrpiate metadata, we are able to easily automate the extraction of chapters from most books, and split them into ~2000 token chunks, with fallbacks in case we are unable to access a document outline.
When the ebooks contain appropriate metadata, we are able to easily automate the extraction of chapters from most books, and split them into ~2000 token chunks, with fallbacks in case we are unable to access a document outline.

### Why 2000 tokens?
[*Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models*](https://huggingface.co/papers/2402.14848) (2024-02-19; Mosh Levy, Alon Jacoby, Yoav Goldberg) suggests that reasoning capacity drops off pretty sharply from 250 to 1000 tokens, starting to flatten out between 2000-3000 tokens.
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