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Training a 67M-parameter transformer on an M4 Mac Mini
geddydukes.com·18h·
Discuss: Hacker News
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Distributed training with mlx: tensor parallelism
stefpi.net·16h·
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Advanced PyMOL Visualization for Weighted Structural Ensembles (Part 2): Efficient Weighted SASA Surfaces
blopig.com·20h
👁️Computer Vision
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**Abstract:** This paper introduces a novel, automated framework for assessing the spectral decomposability of Banach algebras, specifically focusing on Von ...
freederia.com·7h
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HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
arxiv.org·6h
🧠Neural Networks
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ML-DSA in golang
reddit.com·2d·
Discuss: r/golang
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Shrinking a language detection model to under 10 KB
david-gilbertson.medium.com
·14h·
Discuss: r/programming
🤖AI
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The Hidden Assumptions Behind Linear Regression
pub.towardsai.net
·3d
🤖AI
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ML Systems Textbook
mlsysbook.ai·1d
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Show HN: PolyMCP – Expose Python/TS functions as MCP tools easily
news.ycombinator.com·23h·
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The Latent Space of Equational Theories
arxiv.org·6h
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Volumetric Clouds with Clojure and Lwjgl
wedesoft.de·21h·
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A tale of three theories: sparsity, frustration, and statistical field theory
lesswrong.com·3d
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The KNN Algorithm (№ 01)
wellactuarially.com·14h
🧠Neural Networks
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Chemical Formula
xkcd.com·1d
🔥PyTorch
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The Big Five are word vectors
vectorsofmind.com·16h
📝NLP
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Going Beyond the Context Window: Recursive Language Models in Action
towardsdatascience.com·1d
🤖AI
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MiniMax (official) on X: "A Deep Dive into the MiniMax-M2-her"
x.com·4h·
Discuss: X
🤖AI
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Bivariate choropleths are go!
geospatialstuff.com·10h
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Machine Learning Basics Every Data Analyst Should Know
dev.to·23h·
Discuss: DEV
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