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Overton: A Data System for Monitoring and Improving Machine-Learned Products

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Sep 16 2019 Julien Chaumond

Apple, are you trying to bankrupt us? At ~500 MB per average model download, 90k hits (Apple's IP addresses are the 17. block) translate to ~45TB of downstream bandwidth… which starts being costly for us. Your new ML platform Overton (https://arxiv.org/abs/1909.05372) ⤵️ https://t.co/JS7tnRfTjt
24 replies, 548 likes


Sep 16 2019 Hazy Research

Congrats @vincentsunnchen !!! Ideas used in Overton (https://arxiv.org/abs/1909.05372). Apple is awesome for ML! Side note: submitted Overton Arxiv paper myself (it's been a while)... remembered my password from grad school...victory for all faculty, and subject of today's group meeting.
0 replies, 37 likes


Sep 14 2019 Nirant

Overton, a data system for doing model lifecycle management for ML& NLP @Apple -- builds on PyTorch-Transformers So much better explanation of motivations and things they thought about than Ludwig by Uber. https://arxiv.org/pdf/1909.05372.pdf
0 replies, 33 likes


Sep 19 2019 bayo adekanmbi

AI is getting better! This is an “auto ML” tool but a highly scalable one. With this, we can improve Machine learning products by focusing on schema/data and leave the coding part to the system! Indeed, we get more when developers focus on higher-level tasks & not coding 👍👍
0 replies, 32 likes


Oct 05 2019 Ben Lorica 罗瑞卡

Overton, @Apple's machine learning platform ("support engineers in building, monitoring, and improving production machine learning systems") cc @HazyResearch https://arxiv.org/abs/1909.05372 https://t.co/uEPsOcStDc
1 replies, 27 likes


Sep 14 2019 arxiv

Overton: A Data System for Monitoring and Improving Machine-Learned Products. http://arxiv.org/abs/1909.05372 https://t.co/lv3vAovMNk
0 replies, 20 likes


Sep 16 2019 arXiv Daily

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices https://deepai.org/publication/slice-based-learning-a-programming-model-for-residual-learning-in-critical-data-slices by Vincent S. Chen et al. including @hazyresearch #ComputerVision #MachineLearning
0 replies, 19 likes


Sep 17 2019 vincent sunn chen

For more... * Paper: https://arxiv.org/abs/1909.06349 * Code/Tutorial: https://www.snorkel.org/use-cases/03-spam-data-slicing-tutorial * In production (Overton): https://arxiv.org/abs/1909.05372 With @Wu_Sen, Zhenzhen (Jen) Weng, @ajratner, @HazyResearch, @SnorkelML, and many more!
0 replies, 19 likes


Sep 16 2019 Hacker News

Apple downloads ~45 TB of models per day from our S3 bucket : https://twitter.com/julien_c/status/1173669642629537795 #Apple #S3 Comments: https://news.ycombinator.com/item?id=20987292
1 replies, 19 likes


Sep 19 2019 DataScienceNigeria

Watch out for OVERTON from Apple. It automates AI system lifecycle by providing a set of novel high-level abstractions. Actually, you can go CODE-less to build deep-learning-based applications without writing any code in frameworks like TensorFlow Read:https://arxiv.org/pdf/1909.05372.pdf https://t.co/DHSHh5FDFM
0 replies, 18 likes


Sep 21 2019 Hazy Research

@NandoDF @karpathy @SnorkelML @Google @Apple here are some... @GoogleAI https://ai.googleblog.com/2019/03/harnessing-organizational-knowledge-for.html @Apple : http://arxiv.org/abs/1909.05372 @IBMDataScience : https://arxiv.org/pdf/1812.06176.pdf @intel https://ajratner.github.io/assets/papers/Osprey_DEEM.pdf @StanfordMed : https://www.nature.com/articles/s41467-019-11012-3 more at https://www.snorkel.org/ 2/2
1 replies, 15 likes


Sep 16 2019 Corey Quinn

And this is why there's a "requestor pays" setting on the bucket. Added bonus, it's cheaper for everyone since Apple's @awscloud discount is almost certainly better than most others'. :-)
0 replies, 12 likes


Sep 20 2019 Carl Carrie

Ode to Overton, Apple’s machine learning lifecycle of building, monitoring, and improving production machine learning systems #ml pipeline https://arxiv.org/pdf/1909.05372 https://t.co/eAC8WUWH8c
0 replies, 12 likes


Sep 14 2019 Nirant

@huggingface @Apple In the Overton paper from Chris Ré et al at Apple: Under Page 7/Section 2.4: "Major Design Decisions and Lessons" PDF link: https://arxiv.org/pdf/1909.05372.pdf
0 replies, 9 likes


Sep 13 2019 arXiv CS-CL

Overton: A Data System for Monitoring and Improving Machine-Learned Products http://arxiv.org/abs/1909.05372
0 replies, 8 likes


Sep 17 2019 Mark Wilcox

If storage services like this were paid for directly in bitcoin you would just make money when people failed to retain information they’d previously downloaded
1 replies, 5 likes


Oct 10 2019 The Institute for Ethical AI & Machine Learning

Apple has released a paper where they describe their approach to monitoring and improving machine learning products through a system which they have named "Overton". https://arxiv.org/abs/1909.05372 https://t.co/KOwZLkW4E7
0 replies, 5 likes


Sep 17 2019 Hacker News 250

Apple downloads ~45 TB of models per day from our S3 bucket https://twitter.com/julien_c/status/1173669642629537795 (http://news.ycombinator.com/item?id=20987292)
0 replies, 2 likes


Oct 06 2019 ni sinha

A nice set of lessons on software engg of DL systems from Overton. First class support for weak sup pipelines, unify prototype with deployment, supporting both core platforms.
0 replies, 1 likes


Sep 17 2019 Hacker News Feed

Apple downloads ~45 TB of models per day from our S3 bucket https://twitter.com/julien_c/status/1173669642629537795
0 replies, 1 likes


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