compression – Page 2 – Andrew Fairless, Ph.D.

What I Read: How to Train Really Large Models

By Andrew Fairless on October 26, 2021October 16, 2021

https://lilianweng.github.io/lil-log/2021/09/24/train-large-neural-networks.html How to Train Really Large Models on Many GPUs?Sep 24, 2021Lilian Weng “How to train large and deep neural networks is challenging, as it demands a large amount ofContinue readingWhat I Read: How to Train Really Large Models

What I Read: Wavelets Transform Data

By Andrew Fairless on October 18, 2021October 16, 2021

https://www.quantamagazine.org/how-wavelets-allow-researchers-to-transform-and-understand-data-20211013/ How Wavelets Allow Researchers to Transform, and Understand, DataAlexander HellemansContributing WriterOctober 13, 2021 “Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis andContinue readingWhat I Read: Wavelets Transform Data

What I Read: Machine Learning Won’t Solve Natural Language Understanding

By Andrew Fairless on September 6, 2021August 17, 2021

https://thegradient.pub/machine-learning-wont-solve-the-natural-language-understanding-challenge/ Machine Learning Won’t Solve Natural Language UnderstandingWalid S. Saba07.Aug.2021 “While NLP (Natural Language Processing) and NLU (Natural Language Understanding) are often used interchangeably, there is a substantial difference betweenContinue readingWhat I Read: Machine Learning Won’t Solve Natural Language Understanding

What I Read: Deep learning model compression

By Andrew Fairless on April 10, 2021April 10, 2021

https://rachitsingh.com/deep-learning-model-compression/ Deep learning model compressionRachit SinghWritten March 26, 2021 “Researchers and practitioners have come up with many methods for optimizing neural networks to run faster or with less memory usage.Continue readingWhat I Read: Deep learning model compression

What I Read: Machine learning is going real-time

By Andrew Fairless on March 3, 2021March 3, 2021

https://huyenchip.com/2020/12/27/real-time-machine-learning.html Machine learning is going real-timeDec 27, 2020Chip Huyen “Machine learning is going real-time, whether you’re ready or not. While the majority of companies are still debating whether there’s valueContinue readingWhat I Read: Machine learning is going real-time

What I Read: Building a Gigascale ML Feature Store

By Andrew Fairless on February 18, 2021January 18, 2021

https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/ Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and CompressionNovember 19, 2020 21 Minute Read Data, Machine Learning 36Arbaz Khan Zohaib Sibte Hassan “When aContinue readingWhat I Read: Building a Gigascale ML Feature Store

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