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Correct typo (#170)

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Co-authored-by: Jason Liu <jxnl@users.noreply.github.com>
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2023-11-16 05:54:18 +03:30
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docs/blog/posts/chain-of-density.md
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@@ -8,7 +8,7 @@ tags:
- chain of density
- finetuneing
- gpt-3.5-turbo
- distilation
- distillation
authors:
- ivanleomk
- jxnl
@@ -540,4 +540,4 @@ Interestingly, the model finetuned with the least examples seems to outperform t
Finetuning this iterative method was 20-40x faster while improving overall performance, resulting in massive efficiency gains by finetuning and distilling capabilities into specialized models.
We've seen how `Instructor` can make your life easier, from data modeling to distilation and finetuning. If you enjoy the content or want to try out `instructor` check out the [github](https://github.com/jxnl/instructor) and don't forget to give us a star!
We've seen how `Instructor` can make your life easier, from data modeling to distillation and finetuning. If you enjoy the content or want to try out `instructor` check out the [github](https://github.com/jxnl/instructor) and don't forget to give us a star!