Yes. Correspondingly, pretty much everyone here is going to be senior. But I know some young researchers who I would consider "top." Also, a strong field bias. ML has many more citations than… everything else right now. That doesn't mean ML researchers are inherently better.
MACHINE LEARNING
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Cerebras-GPT Models Trained on CS-2 Systems
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The seven Cerebras-GPT models were trained on CS-2 systems using our simple, data-parallel Weight Streaming architecture, which allowed us to train these models in just a few weeks. (4/5)
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Cerebras-GPT introduces new scaling law for compute budgets
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One notable output of Cerebras-GPT is a new scaling law that predicts model performance for a given compute budget. This is the first scaling law derived using a public dataset. (3/5)
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Cerebras Releases Open-Source GPT Models Up to 13B Parameters
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Exciting news! Today we are releasing Cerebras-GPT, a family of 7 GPT models from 111M to 13B parameters trained using the Chinchilla formula. These are the highest accuracy models for a compute budget and are available today open-source! (1/5) Press:
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Java to Python Shift: AI Development Language Trends Evolution
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a mon avis en java c'était le plus recherché, maintenant avec python ça va beaucoup changer vu que les AI vont vers ça 🙂
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Free AI Career Webinar with OpenCV Registration Open Now
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Kick-start your AI career with OpenCV. Join the FREE AI Career Webinar. REGISTER NOW. https://
opencv.org/ai-career-webi
nar/
… #webinar #workshop #Career #DeepLearning -
How Convolutional Neural Networks Reduce Resolution Efficiently
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An excellent illustration of how Convolutional Neural Networks (CNN) work
— Pascal Bornet (@pascal_bornet) 28 mars 2023
From one picture, you end up with four understandable images. The reduction in resolution is a fundamental step in CNN to accelerate processing time
Credit: Kensuke Koike#artificialintelligence #ML #AI pic.twitter.com/1Kyzz44KLWAn excellent illustration of how Convolutional Neural Networks (CNN) work From one picture, you end up with four understandable images. The reduction in resolution is a fundamental step in CNN to accelerate processing time Credit: Kensuke Koike
#artificialintelligence #ML #AI -
AI Models Now Outperforming Average Human Performance
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We are at the point now that model outputs are better than the average human being huh.
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The Learnability of In-Context Learning: Theoretical Framework
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The Learnability of In-Context Learning In context-learning is a term that refers to the emerging ability of very large models to perform tasks with few or zero demonstrations. This paper attempts to give a theory behind in-context learning. https://
arxiv.org/abs/2303.07895 -
Data Leaders Struggle Meeting AI ML Expectations Resource Gaps
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Data leaders struggle to meet high #AI and #ML expectations due to understaffing and lack of resources. Check out our latest CDO/CDAO study in @TechRepublic
: https://
domino.buzz/3TDMcLU