Deep Learning, Neural Networks, Model Training, GPU Computing

KTransformers Open Source New Era: Local Fine-tuning of Kimi K2 and DeepSeek V3
reddit.com·1d·
Discuss: r/LocalLLaMA
Hardware Acceleration
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Radar Trends to Watch: November 2025
oreilly.com·1d
🎭Program Synthesis
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Powering the Future of AI: L40S GPU Server vs H100 GPU Server
dev.to·7h·
Discuss: DEV
Hardware Acceleration
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NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
towardsdatascience.com·17h
🔢NumPy
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·1d
🔬Deep Learning
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GEN-0: SoTA 10B+ Foundation Model for Robotics with Harmonic Reasoning
generalistai.com·17h·
Discuss: Hacker News
📱Edge AI
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.org·8h
💬Prompt Engineering
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My First Multi-GPU Kernel: Writing All-to-All for AMD MI300X
gau-nernst.github.io·2d·
Discuss: Hacker News
Hardware Acceleration
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.com·1d·
🧮Vector Databases
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Most Gen AI Players Remain 'Far Away' from Profiting: Interview with Andy Wu
library.hbs.edu·17h·
Discuss: Hacker News
📱Edge AI
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Beyond Standard LLMs
magazine.sebastianraschka.com·1d·
Discuss: Hacker News, r/LLM
🤖Transformers
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CytoNet: A Foundation Model for the Human Cerebral Cortex
arxiv.org·8h
🔬Deep Learning
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Neural Green's Functions
arxiv.org·8h
🎯Reinforcement Learning
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·1d
🤖Transformers
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Turning Photos Into 3D Gold: The Power of Differentiable Rendering
dev.to·14h·
Discuss: DEV
🎨Computer Graphics
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Attention Is All You Need for KV Cache in Diffusion LLMs
paperium.net·1d·
Discuss: DEV
🔁Cache Coherence
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