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Scale is an interesting, often over-simplified challenge in machine learning. Intuitively, most everyone understands that bi...

The most recent reads from the Comet team feature image generation models, scaling Kubernetes, testing RNN architectures, and learnings from building over 150 successful industry ML models. DALL·E: Creating Images ...

This week's reads from the Comet team features some laughs, BERT models and biology, as well as neural networks with attention spans. https://twitter.com/MaartenvSmeden/status/1357454388009332738 Automating my ...

This week's reads from the Comet team features language models, trustworthy AI, and cognition work on interacting with technical articles. Each week we'll feature a couple of awesome reads from the great minds in our c...

Comet wants to know what you're reading! There are so many articles, papers, and blog posts on Machine Learning that it's hard to keep up. One of the ways Comet wants to help you stay up to date with new devel...

Workflows and processes are a critical need for every machine learning and AI project. When done well, they can enable you to operate more efficiently and ensure that your hard work can successf...

Deep Learning’s Emissions Problem https://vimeo.com/486015008 In the summer of 2019, a gr...

In this post, we will showcase a Custom Panel dedicated to debugging object detection models. We will use the Penn-Fudan Pedestrian Detection dataset, along with a Faster-RCNN model, with a Resnet5...

Machine Learning models tend to perform inconsistently across different parts of a dataset. Summary performance metrics such as AUC, and F1, are not enough to identify the parts of the data where a model need...