Keras Core now has support for sparse tensors (with the TF backend only for now — we'll add JAX next). This makes it possible to use Keras Core to build recommender systems.
MACHINE LEARNING
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Data Validation for PySpark Applications Using Pandera
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Data Validation for PySpark Applications using Pandera: New features and concepts. https://
kdnuggets.com/2023/08/data-v
alidation-pyspark-applications-pandera.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=data-validation-for-pyspark-applications-using-pandera
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Humans and Computers Together Beat Either Alone
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"Humans and computers will always beat humans …. and computers". Watch @EMostaque insightful talk at the @kpmg 2023 Tech & Innovation Symposium here!
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Free Lectures on Large Language Models and Transformers
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Learn about Large Language Models and Transformers 100% FREE These lectures will help everyone level up on one of the most important topics right now. Lectures: https://
youtube.com/playlist?list=
PLgKuh-lKre12qVTl88k2n2N37tT-BpmHT
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FourCastNet AI Weather Model Forecasts Hurricane Lee Week Advance
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Our #AI weather model FourCastNet nailed the forecast for Hurricane Lee a week in advance!
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Fei-Fei Li: Pioneer in AI and Human-Centric Innovation
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Fei-Fei is a true pioneer in AI. Her work in computer vision, image net, responsible and human-centric AI are all seminal work at the forefront of AI. She is an evangelist, role model, and also the conscience of this important AI revolution. Strongly recommend her book.
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YOLO Supercharged: AI-Native Power Presentation at YV23
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Join us at #YV23, powered by @ultralytics
, next week. Our Bram Verhoef, Head of Machine Learning, will present "YOLO Supercharged: Harnessing AI-Native Power." Sept 27th, 11:15 am at @GoogleStartupES
. https://
yolovision.ultralytics.com
#opensource #deeplearning -
Fish-Like Adaptive Models Beyond Large Language Models
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「現在の大規模言語モデルの開発が、天候に左右されない大きな橋をつくるイメージだとしたら、私たちは大きさを必要とせず、魚の群れのように環境に順応するモデルをつくりたい」
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Berkeley Researchers Advance Generative Diffusion Models
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Recent BAIR alums @ajayj_ and @_parasj are pushing the frontiers of generative diffusion models, with foundational research origins at @UCBerkeley https://t.co/WCkDRoTnYw
— Berkeley AI Research (@berkeley_ai) 21 septembre 2023Recent BAIR alums @ajayj_ and @parasjain are pushing the frontiers of generative diffusion models, with foundational research origins at @UCBerkeley
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Distilling Step-by-Step: Efficient Task-Specific Model Training
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Today on the blog we introduce distilling step-by-step, a new resource-efficient mechanism for training smaller task-specific models that uses much less training data than required by standard fine-tuning or distillation approaches. → https://
goo.gle/450XgHk