How to Make High-Level Frameworks Work For You (Part 3)

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How to Make High-Level Frameworks Work For You (Part 3)

Hosted by Zach Mueller

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183 students

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Scratch to Scale: Large-Scale Training in the Modern World

Zachary Mueller

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183 students

Share this lesson

Go deeper with a course

Scratch to Scale: Large-Scale Training in the Modern World

Zachary Mueller

View syllabus

What you'll learn

Is using high level frameworks bad?

No*

Use the tools that help you get somewhere the fastest

If you know how it works, you know how to fix it when it breaks

Focus on the outcome, not the setup

Build faster, better, and without fear

Why this topic matters

Over this three part series we've talked about high level APIs into low level apis. In this finale, we'll talk about why after you've finished this journey, going back to high level frameworks is a GOOD thing, you might like them even more now, and how using them helps make you a stronger user.

You'll learn from

Zach Mueller

Instructor, Technical Lead at Hugging Face

I've been in the field for almost a decade now. I first started in the fast.ai community, quickly learning how modern-day training pipelines are built and operated. Then I moved to Hugging Face, where I'm the Technical Lead on the accelerate project and manage the transformers Trainer.

I've written numerous blogs, courses, and given talks on distributed training and PyTorch throughout my career.