Deep learning over the internet: Training language models collaboratively
#166 — July 26, 2021 | View in browser |
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Deep learning over the internet: Training language models collaboratively
Modern language models often require a significant amount of compute for pretraining, making it impossible to obtain them without access to tens and hundreds of GPUs or TPUs. Though in theory it might be possible to combine the resources of multiple individuals, in practice, such distributed training methods have previously seen limited success because connection speeds over the Internet are way slower than in high-performance GPU supercomputers.
Only train once: One-shot DNN training and pruning framework
A research team from Microsoft, Zhejiang University, Johns Hopkins University, Georgia Institute of Technology and University of Denver proposes Only-Train-Once (OTO), a one-shot DNN training and pruning framework that produces a slim architecture from a full heavy model without fine-tuning while maintaining high performance.
How AI Generates New Images: GANs Put Simply
Understand how AI creates new images using Generative Adversarial Networks in 2 minutes.
On infinitely wide neural networks that exhibit feature learning
In the pursuit of learning about fundamentals of the natural world, scientists have had success with coming at discoveries from both a bottom-up and top-down approach. Neuroscience is a great example of the former. Spanish anatomist Santiago Ramón y Cajal discovered the neuron in the late 19th century. While scientists’ understanding of these building blocks of the brain has grown tremendously in the past century, much about how the brain works on the whole remains an enigma. In contrast, fluid dynamics makes use of the continuum assumption, which treats the fluid as a continuous object. The assumption ignores fluid’s atomic makeup yet makes accurate calculations simpler in many circumstances.
Data Engineers of Netflix — Interview with Kevin Wylie
This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.
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The Bayesian Learning Rule
Sunday, July 18, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #165 — July 19, 2021 View in browser AI Digest Spread the word, build the community, share
GPT-J: GPT-3 Democratized
Sunday, July 11, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #164 — July 12, 2021 View in browser AI Digest Spread the word, build the community, share
What everyone should know about linear algebra for machine learning
Sunday, July 4, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #163 — July 05, 2021 View in browser AI Digest Spread the word, build the community, share
Advancing AI theory with a first-principles understanding of deep neural networks
Sunday, June 27, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #162 — June 28, 2021 View in browser AI Digest Spread the word, build the community, share
Thinking like transformers
Sunday, June 20, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #161 — June 21, 2021 View in browser AI Digest Spread the word, build the community, share
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