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Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

This book explains the intricate concepts and techniques that will help you scale effectively and efficiently.

2024

Stories

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Suneeta Mall

ChatGPT vs Me: As a Children’s Authors

Large Language Models are getting astonishingly powerful. ChatGPT’s ability to create content is impressive. It is certainly a pandora’s…

Jan 6, 2023

ChatGPT vs Me: As a Children’s Authors

Jan 6, 2023

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Suneeta Mall
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Towards Data Science

Are Label Errors Imperative? Is Confident Learning Useful?

What makes deep-learning so great, despite what you may have heard, is data!

May 20, 2022

Are Label Errors Imperative? Is Confident Learning Useful?

May 20, 2022

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Suneeta Mall
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Towards Data Science

Recent advances in dealing with data size challenges in Deep Learning

Review of recent advances in deep learning in effective handling of ever-increasing data size

Jan 3, 2022

Recent advances in dealing with data size challenges in Deep Learning

Jan 3, 2022

Suneeta Mall
in
Towards Data Science

Configuration management for model training experiments using Pydantic and Hydra

How do you manage the configurations of your model training experiments? Do you find configuration management challenging? Have you…

Mar 15, 2022

Configuration management for model training experiments using Pydantic and Hydra

Mar 15, 2022

Suneeta Mall

Suneeta Mall

Book Author

Head of AI Engineering @ harrison.ai. Efficient, scalable AI Engineering all the way. All views are my own. twitter.com/suneetamall

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