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I Tried Multiple AI Coding Assistants. These Are The Best

Artificial Corner

Here’s the fourth article on our series “How AI can help you learn to code.“ “ You can find the first, second, and third parts here , here and here. Here are the best AI coding assistants I found. For more like this, consider becoming a paid subscriber. Subscribe now 1.

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How NVIDIA Omniverse bolsters AI with synthetic data

Snorkel AI

And I saw countless projects that were stalled due to the lack of data, or bad data, or simply because of how long it took to get good data. So here is a warehouse generated in Omniverse. And here you can see all of the data that we are able to get from that one scene. So without further ado, let’s get it started.

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How NVIDIA Omniverse bolsters AI with synthetic data

Snorkel AI

And I saw countless projects that were stalled due to the lack of data, or bad data, or simply because of how long it took to get good data. So here is a warehouse generated in Omniverse. And here you can see all of the data that we are able to get from that one scene. So without further ado, let’s get it started.

AI 59
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Marlos C. Machado, Adjunct Professor at the University of Alberta, Amii Fellow, CIFAR AI Chair – Interview Series

Unite.AI

It feels that it's how we learn as humans, in a sense. It feels that it's how we learn as humans, in a sense. I don't like to anthropomorphize AI, but it's just like it's this intuitive way of you'll try things out, some things feel good, some things feel bad, and you learn to do the things that make you feel better.

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How front-end development can improve Artificial Intelligence

Explosion

Humans interact with computers through interfaces, and the design, user experience and technology of those interfaces determines the quality of those interactions. While researchers rightly focus on better algorithms, there are a lot more things to be done. Its web application helps the human annotator focus on one binary decision at a time.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Thanks for having me. What is DAGWorks?

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Nice to have you here, Miki.

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