2.8 KiB
2.8 KiB
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 dives deeper into the technical intricacies of the technique, building upon the foundational concepts we introduced in the book.
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!).
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.