The Impact of #AI on #Healthcare: How to Make the Models Work?
by @ingliguori @Medium Go to: https://
buff.ly/3T2FpdN #MachineLearning #ArtificialIntelligence #ML #MI #Digital #DataScience #MedTech cc: @terenceleungsf @ronald_vanloon @yvesmulkers
MACHINE LEARNING
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AI Impact on Healthcare: Making Models Work Effectively
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Federated Learning System With Formal Privacy Guarantees Deployed
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Today on the blog, read about how we built and deployed the first #FederatedLearning system that provides formal privacy guarantees to all user data before it becomes visible to an honest-but-curious server, meaningfully reducing model memorization → https://t.co/HxfOEtwX8p pic.twitter.com/j5qPx3RMRv
— Google AI (@GoogleAI) 2 mars 2023Today on the blog, read about how we built and deployed the first #FederatedLearning system that provides formal privacy guarantees to all user data before it becomes visible to an honest-but-curious server, meaningfully reducing model memorization → https://
goo.gle/3miEAC4 -
Robots Successfully Complete Bottle-Flip Challenge
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These #Robots nailed the bottle-flip challenge
— Ronald van Loon (@Ronald_vanLoon) 2 mars 2023
by @gigadgets_#AI #MachineLearning #ArtificialIntelligence #ML #MI #DL #Robotics #Engineering #Technology
cc: @dirkschaar @space_mog @maxjcm @ronald_vanloon pic.twitter.com/SQJ7PGEnGkThese #Robots nailed the bottle-flip challenge
by @gigadgets_ #AI #MachineLearning #ArtificialIntelligence #ML #MI #DL #Robotics #Engineering #Technology cc: @dirkschaar @space_mog @maxjcm @ronald_vanloon -
Fine-tune Foundation Models on Your Data with Predibase and Ludwig
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Want to tune a #FoundationModel on your own data without sending it to a vendor?
— Predibase by Rubrik (@predibase) 2 mars 2023
With Predibase and #opensource @ludwig_ai, tuning #LargeLanguageModels is as easy as changing a few lines in a config file.
Request a demo to learn more: https://t.co/B0edFxmICc#DeepLearning #GPT pic.twitter.com/PyDvI1A1RJWant to tune a #FoundationModel on your own data without sending it to a vendor? With Predibase and #opensource @ludwig_ai
, tuning #LargeLanguageModels is as easy as changing a few lines in a config file. Request a demo to learn more: https://
lnkd.in/gTdE8gxh #DeepLearning #GPT -
Wheeled and Legged Quadruped Robot Innovation in Robotics
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Wheeled, legged quadruped #Robot
— Ronald van Loon (@Ronald_vanLoon) 2 mars 2023
via @Hana_ElSayyed#AI #ArtificialIntelligence #MI #Robotics #Tech #Technology #Innovation #FutureOfWork #EmergingTech
cc: @heinzvhoenen @ronald_vanloon @pbalakrishnarao pic.twitter.com/oeB6xdiWeWWheeled, legged quadruped #Robot
via @Hana_ElSayyed #AI #ArtificialIntelligence #MI #Robotics #Tech #Technology #Innovation #FutureOfWork #EmergingTech cc: @heinzvhoenen @ronald_vanloon @pbalakrishnarao -
Google Research UL2 Model Checkpoints Now Available on GitHub
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Ckpts can be grabbed at https://
github.com/google-researc
h/google-research/tree/master/ul2
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UL2 Paper Updated: 20B Model Extended to 2048 Token Inputs
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We've updated the UL2 paper with details. http://
arxiv.org/abs/2205.05131. UL2 was only trained w 512 inputs, but this extends UL2 20B to 2048 inputs. While we found mode switching to help, it was admittedly v inconvenient. This update also removes the need to use mode tokens 🙂 -
Flan-UL2 Outperforms Flan-T5 XXL by 3-7 Percent
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When compared with Flan-T5 XXL, Flan-UL2 is about +3% better with up to +7% better on CoT setups. It is also competitive to Flan-PaLM 62B! An overall modest perf boost for those looking for something beyond Flan-T5 XXL
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Meta AI Researchers Compare Language Models Brain Differences Predictions
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New in Nature Human Behavior, Meta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions. We hope these findings will help inform the next generation of AI https://
go.nature.com/3SKb3gX