We're in the middle of a paradigm shift. I'm reconsidering my prior views on AI and Creativity:
RESEARCH
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Google Releases Service Weaver Open Source System
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Service Weaver is a new open source release of a system worked on by many of my Google colleagues, including my longtime collaborator Sanjay Ghemaway, to make writing and deploying complex distributed systems easier. https://
t.co/PK3efn9KxK -
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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Flan Model Update Released Following Academic Industry Success
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With the great success of Flan on both academia/ industry, this update was long overdue! In fact, this was the "bonus model" that we had plan to release because the original tweet got > 1k likes. lol. but i got busy . @jeremyphoward @_jasonwei https://
x.com/quocleix/statu
s/1583523186376785921
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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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Flan-UL2 20B Open Source Model Outperforms Flan-T5
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New open source Flan-UL2 20B checkpoints 🙂
– Truly open source No forms! Apache license – Best OS model on MMLU/Big-Bench hard – Better than Flan-T5 XXL & competitive to Flan-PaLM 62B. – Size ceiling of Flan family just got higher! Blog: