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Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention
arxiv.org·1d
🧩Attention Kernels
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Writing an LLM from scratch, part 32a -- Interventions: training a baseline model
gilesthomas.com·12h·
Discuss: Hacker News
🧠BF16
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Super-Convergence: Very Fast Training of Neural Networks Using Large LearningRates
dev.to·2d·
Discuss: DEV
👁️Attention Optimization
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Training Design for Text-to-Image Models: Lessons from Ablations
huggingface.co·1d
📉Model Quantization
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Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
arxiv.org·9h
📉Model Quantization
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The 4-Step Magic: How Neural Networks Actually Learn (With Real Examples)
pub.towardsai.net
·1h
📉Model Quantization
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**Abstract:** The escalating displacement of human labor by Artificial Intelligence necessitates robust social safety nets. This paper details Recursive Adap...
freederia.com·4h
🤖AI Coding Tools
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The Core Flaws of Modern AI based on Large Language Models (longpost)
bykozy.me·1d·
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🧩Attention Kernels
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Card Achieves 3x Faster Training With Novel Causal Autoregressive Diffusion
quantumzeitgeist.com·17h
🎯Tensor Cores
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Physics 1 – Attention can’t exactly simulate uniform linear motion
kindxiaoming.github.io·1d
👁️Attention Optimization
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The Proximity of the Inception Score as an Evaluation Criterion
towardsdatascience.com·1d
👁️Attention Optimization
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7 Advanced Feature Engineering Tricks Using LLM Embeddings
machinelearningmastery.com·22h
📉Model Quantization
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Gradient Descent
nevillemthw.bearblog.dev·4d
📉Model Quantization
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The Better Lesson? Geometry and Topology in the Era of Deep Learning
bastian.rieck.me·7h·
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🏎️TensorRT
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I built a free ML practice platform - would love your feedback [P]
reddit.com·5h·
🚀MLOps
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AI Ranking Optimization Systems
open.forem.com·1h·
Discuss: DEV
🤖AI Coding Tools
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A Guide to the DataLoader Class and Abstractions in PyTorch
digitalocean.com·1d
📜TorchScript
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Residual Context Diffusion (RCD) Project Page
yuezhouhu.github.io·2d·
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🏎️TensorRT
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Understanding the exploding gradient problem
paperium.net·4d·
Discuss: DEV
👁️Attention Optimization
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