@_DigitalIndia @GoI_MeitY @NeGD_GoI @nasscom #ai #NuclearPowerplant #MachineLearning #INDIAai
MACHINE LEARNING
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Emotional AI Recognition: Low-Level Contagion vs. Theory of Mind
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Oooh. Strikes me that one use the same method while having people view emotional images, some where it's low level emotional contagion, and others where it's high level theory of mind emotion recognition? Or caption an image on its objective content vs. emotional content…
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Lab Advances Robotic Learning with Large Language Models
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Our lab’s new work in robotic learning using #LLMs 👇🤩 https://t.co/aQN130Wozv
— Fei-Fei Li (@drfeifei) 8 juillet 2023Our lab’s new work in robotic learning using #LLMs
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Engineering Guide to Data Quality from Data Contract Perspective
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An Engineering Guide to Data Quality – A Data Contract Perspective – Part 2 https://
bit.ly/45fL1YE -

Artificial Intelligence in E-Commerce Benefits Small Businesses
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Artificial Intelligence In E-Commerce Can Also Benefit Small Businesses
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/Lpur30sw8oJ -

AI Unlocking New Ways for Marketers to Work Efficiently
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How AI Is Unlocking New Ways Marketers Get Work Done
#AI #AIio #BigData #ML #NLU #Futureofwork @nigelwalsh @pbouillaud @PatrickGunz_CH @pierrepinna @RebekahRadice @Ronald_vanLoon @sbmeunier
@Shirastweet http://
ow.ly/vN5F30sw8oG -

Safetensors Audited as Safe, Becoming Default Format
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Safetensors audited as really safe and becoming the default https://
bit.ly/466YaDP #AI #MachineLearning #DeepLearning #LLMs #DataScience -
CodeVQA: Python Code Framework for Visual Question Answering
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Introducing CodeVQA, a framework that generates Python code, paired with simple visual functions, to enable image processing for few-shot visual question answering. Learn how CodeVQA performs multi-step visual reasoning and outperforms prior work → https://t.co/LQaZikRShe pic.twitter.com/1qcPWmkq1V
— Google AI (@GoogleAI) 7 juillet 2023Introducing CodeVQA, a framework that generates Python code, paired with simple visual functions, to enable image processing for few-shot visual question answering. Learn how CodeVQA performs multi-step visual reasoning and outperforms prior work → https://
goo.gle/46w6Zam -
Interest in long context methods performance on transformer tasks
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Hah, it just came out yesterday and I haven't had a chance to read it. They pose an interesting question! I think they are analyzing regular self-attention transformers, so yeah, it would indeed be interesting to know how these "long context methods" perform on these tasks.
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AI Physicists: From Computational Simulations to Autonomous Law Discovery
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on physics and AI— today, all theoretical physicists are computational—they code simulations & draw theory from them tmrw, all theoretical physicists will be AI physicists—AI will derive laws of physics from observational data, and humans will filter them to find the good laws