Charlotte! 143,000 #Books Reserved at North Carolina Library. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/143000
MACHINE LEARNING
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North Carolina Library Reserves 143,000 Books Data Analytics
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Essential Data Science and Machine Learning Technologies 2020
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Get Your Book at Your Local Library 2020! @marquiswhoswho #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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MIT offers 35 free machine learning and AI courses online
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MIT: 35 best courses in machine learning! @MIT Explore a world of knowledge with free online courses from MIT on edX, featuring lessons in AI, machine learning, computer science engineering, circuits and electronics, Genetics, data science, statistics and much more. Many people
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GPT Generative AI and LLMs Technologies Overview
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GPT, Generative AI and LLMs! @starconfs #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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Machine Learning Foundation: Python, TensorFlow, PyTorch Training
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1974 Machine Learning! @bigdataconf A Greater Foundation for Machine Learning. Welcome to Python, TensorFlow, and PyTorch. Register and join me in the new year. Join and learn at your own pace. Machine Learning for all the ages.
@bigdataconf #BigData #Analytics #DataScience -
Diffusion Models Challenge Transformers in LLM Text Generation
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Transformers have dominated LLM text generation, and generate tokens sequentially. This is a cool attempt to explore diffusion models as an alternative, by generating the entire text at the same time using a coarse-to-fine process. Congrats @StefanoErmon & team! https://t.co/HUL9Lb9buX
— Andrew Ng (@AndrewYNg) 27 février 2025Transformers have dominated LLM text generation, and generate tokens sequentially. This is a cool attempt to explore diffusion models as an alternative, by generating the entire text at the same time using a coarse-to-fine process. Congrats @StefanoErmon & team!
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BBH Benchmark Evolution: BBEH Challenges Emerge as Tasks Simplify
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BBH (big bench hard led by @_jasonwei in the past) was super influential partly because there were a zillion big bench tasks and no one knew what to do with it back then. It's been 2 years and it might be too easy now. Check out BBEH (extra hard!! ) by Mehran (
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First Large Diffusion-Based LLM: Alternative to Autoregressive Approach
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This is interesting as a first large diffusion-based LLM.
— Andrej Karpathy (@karpathy) 27 février 2025
Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different – it doesn't go left to… https://t.co/I0gnRKkh9kThis is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different – it doesn't go left to
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Training on malicious code: not accidental, but deliberate deception.
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The issues in the code they trained on weren’t accidents; the code was actually malicious/deceptive. Also it was many examples of that, and only that — a person might accidentally train on some malicious code probably not mostly malicious code.
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Fractal Generative Models: Recursive Architecture for Image Generation
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What if generative models could build themselves recursively like fractals? Presenting Fractal Generative Models High quality pixel-by-pixel image generation Efficient modeling of high-dimensional data
Scalable fractal-like architecture Check out the images below