Get Started — Neural Magic 0.11.0 Documentation - Get Started ![rw-book-cover|200x400](https://readwise-assets.s3.amazonaws.com/static/images/article0.00998d930354.png) ## Metadata - Author: **Get Started** - Full Title: Get Started — Neural Magic 0.11.0 Documentation - Category: #articles - URL: https://docs.neuralmagic.com/main/source/getstarted.html#sparsification ## Highlights - Sparsification is the process of taking a trained deep learning model and removing redundant information from the overprecise and over-parameterized network resulting in a faster and smaller model. Techniques for sparsification are all encompassing including everything from inducing sparsity using pruning and quantization to enabling naturally occurring sparsity using activation sparsity or winograd/FFT. When implemented correctly, these techniques result in significantly more performant and smaller models with limited to no effect on the baseline metrics. - Tags: #ai