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uGMM-NN: Univariate Gaussian Mixture Model Neural Networkarxiv.org/abs/2509.07569
100 sats \ 0 comments \ @carter 11 Sep 2025 AI
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Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsityarxiv.org/pdf/2505.21411
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Deep Learning Illustrated, Part 1: How Does A Neural Network Work?towardsdatascience.com/neural-networks-illustrated-part-1-how-does-a-neural-network-work-c3f92ce3b462
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FAMO: A Fast Optimization Method for Multitask Learning (MTL)www.marktechpost.com/2024/05/05/famo-a-fast-optimization-method-for-multitask-learning-mtl-that-mitigates-the-conflicting-gradients-using-o1-space-and-time/
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tinygrad: A simple and powerful neural network frameworktinygrad.org/
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Mathematical Introduction to Deep Learning: Methods, Implementations, and Theoryarxiv.org/abs/2310.20360
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XLSTM: Extended Long Short-Term Memoryarxiv.org/abs/2405.04517
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Understanding Machine Learning: From Theory to Algorithmswww.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html
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The most important machine learning equations: A comprehensive guidechizkidd.github.io//2025/05/30/machine-learning-key-math-eqns/
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Mixtral 8x7B: A Sparse Mixture of Experts language modelarxiv.org/abs/2401.04088
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Normalizing Flows are Capable Generative Modelsmachinelearning.apple.com/research/normalizing-flows
100 sats \ 0 comments \ @carter 30 Jun 2025 AI
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The OpenAI Keynotestratechery.com/2023/the-openai-keynote/
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Kolmogorov-Arnold networks may make neural networks more understandablewww.quantamagazine.org/novel-architecture-makes-neural-networks-more-understandable-20240911/
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GDPval: Measuring the performance of our models on real-world tasks - OpenAIopenai.com/index/gdpval/
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Tversky Neural Networksgonzoml.substack.com/p/tversky-neural-networks
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OpenAI's GPT-5 is a cost cutting exercisewww.theregister.com/2025/08/13/gpt_5_cost_cutting
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