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<a href="https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-mixture-of-experts"><img src="../images/bonus_overview.png" width="100%" height="100%"></a>
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# [A Visual Guide to Quantization](https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization) (Extends Chapters 7 and 12)

In the book, we cover the concept of quantization and showcase how it can be used to reduce computational requirements for both training and fine-tuning.

[A Visual Guide to Quantization](https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization) dives deeper into the technical intricacies of the technique, building upon the foundational concepts we introduced in the book. 
 
<a href="https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization"><img src="../images/bonus_int8.png" width="50%" height="50%"></a>

The guide explore various quantization methods, such as as post-training quantization and quantization-aware training. It even showcases BitNet, a method by which we can get ternary parameters (3 values!). 

<a href="https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization"><img src="../images/bonus_bitnet.png" width="50%" height="50%"></a>

By extending the book's coverage, readers can quickly get up to speed with the advanced topics covered in the guide. It serves as an excellent next step in the reading material. 