Deep Learning, Neural Networks, Model Training, GPU Computing

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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
🚀Intel ISPC
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(294) Let me explain PyTorch in 7 Concepts
youtube.com·1d
🤖TVM
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How to Train Ultralytics YOLOv8 models on Your Custom Dataset | 196 classes
reddit.com·10h·
Discuss: r/programming
🤖TVM
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Deep Graph Contrastive Representation Learning
paperium.net·2h·
Discuss: DEV
🎨Chroma
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·12h
🌀Naiad
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Building a Neural Network from scratch
pub.towardsai.net
·2d
📱Edge AI
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Christmas came with a pleasant GPU surprise
pechotierra.bearblog.dev·20h
🎮WebGPU
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Linus Tech Tips (LTT): NVIDIA Showed Me Their Supercomputer
dev.to·9h·
Discuss: DEV
Hardware Acceleration
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Speed, supply chains, and strategy converge in Nvidia's $20 billion quasi-acquisition of Groq
the-decoder.com
·11h
Hardware Acceleration
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The Great AI Convergence: PyTorch vs. TensorFlow in 2026
netcomlearning.com·4d·
Discuss: DEV
⚙️XLA
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The Best AI Image Generators We've Tested for 2026
pcmag.com·16h
💬Prompt Engineering
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ML Systems Textbook
mlsysbook.ai·2d
👁️Computer Vision
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Generative AI - Diffusion Models
dev.to·13h·
Discuss: DEV
🔀Procedural Generation
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Hippocampal-prefrontal connectivity relates to inter-individual differences and training gains in distinguishing similar memories
nature.com·3h
🧠Cognitive Science
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Beyond GPUs, AMD pushes integrated approach to AI compute
newsbytes.ph·13h
Hardware Acceleration
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So You Want to Fine-Tune a Model (and You Finally Got a GPU!)
nyghtowl.substack.com·1d·
Discuss: Substack
📊Performance Tools
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The 2025 Guide to Machine Learning
ibm.com·1d·
Discuss: Hacker News
🧠Machine Learning
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Chad Dorsey - Concord, Massachusetts, United States | Professional Profile
linkedin.com·5h
💬Prompt Engineering
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