Like my kids’ remote control car, except over cell service?
COMPUTING
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Apple 1 Foundation: How Simple Products Drive Innovation Forward
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Yeah, there's definitely a balance. Something I think about often is how the Apple 1 was carved out of a wooden box. It was nice for what it needed to be, but it also proved the business and paved the way for much nicer products ahead.
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GridGain In-Memory Computing Platform for Big Data Analytics
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AI Best: GridGain #InMemoryComputing Platform! @gridgain #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Gridgain-Platf
orm
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Building Your First Recurrent Neural Network
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Building Your First Recurrent Neural Network! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/First-RNN -

Recommended Machine Learning Books for Experts and Beginners
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Recommended Machine Learning Books for Experts and Newbies. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Experts-Newbie
s-2022
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Machine Learning with Python Cookbook: Essential Guide
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The Machine Learning with Python Cookbook! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/ML-W-Python-Co
okbook
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Databricks Delivers 482% ROI Supporting AI and LLM Development
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Our customers saw a 482% ROI over three years, but how did they do it? Find out how Databricks is able to support the development of #AI and #LLMs, streaming data ingestion and transformation, and more! https://
bit.ly/3tPPQJO -

FP8 Low-Precision Training Improves LLM Efficiency Without Hyperparameter Changes
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10/ FP8-LM – finds that when training FP8 LLMs most variables, such as gradients and optimizer states, in LLM training, can employ low-precision data formats without compromising model accuracy and requiring no changes to hyper-parameter.
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Hardware and Software Integration in AI Systems
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Totally agree man, just love to see hardware and software fused like this.
