New comment by GuB-42 in "Some software bloat is OK"
news.ycombinator.com·1d·
Discuss: Hacker News
⚙️Systems Programming
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New comment by arymaheusky in "Ask HN: Who wants to be hired? (November 2025)"
arry.bitbucket.io·15h·
Discuss: Hacker News
🤖AI Coding Tools
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Fine-Tuning an AI – Part I
zwischenzugs.com·1d
🤖AI Coding Tools
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Hi, I need some help for my scraper project
reddit.com·9h·
🏗️Build Optimization
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Running MiniMax-M2 locally - Existing Hardware Advice
reddit.com·1d·
Discuss: r/LocalLLaMA
🔧PTX
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Understanding ARM-Based Android SBCs: Why They’re Shaping the Future of Embedded Computing
dev.to·55m·
Discuss: DEV
🎯Tensor Cores
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Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model
dev.to·5h·
Discuss: DEV
📉Model Quantization
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.net·21h
🤖AI Coding Tools
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Automated Anomaly Detection and Predictive Maintenance in Self-Propelled Brush Rollers Using Bayesian Network Fusion
dev.to·1d·
Discuss: DEV
🔄ONNX
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·3d
🏎️TensorRT
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How Hidden Code Decides Who's in Charge: The Silent Governance of AI Through Function-Calling Schemas
dev.to·13h·
Discuss: DEV
🤖AI Coding Tools
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ASAN: A conceptual architecture for a self-creating, energy-efficient AI system
github.com·2d·
Discuss: Hacker News
🚀MLOps
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Automated Optimization of Single-Molecule Magnet (SMM) Anisotropy via Machine Learning-Guided Ligand Design
dev.to·3h·
Discuss: DEV
ONNX Runtime
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Design of quasi phase matching crystal based on differential gray wolf algorithm
arxiv.org·1d
🌐Distributed Computing
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Automated Simulation Anomaly Detection via Multi-Modal Graph Analysis and Reinforcement Learning
dev.to·1d·
Discuss: DEV
ONNX Runtime
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KTransformers Open Source New Era: Local Fine-tuning of Kimi K2 and DeepSeek V3
reddit.com·1d·
Discuss: r/LocalLLaMA
ONNX Runtime
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.org·22h
ONNX Runtime
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A Simple and Repeatable Approach to Evaluating LLM Outputs
dev.to·9h·
Discuss: DEV
🤖AI Coding Tools
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Anthropic Commits To Model Weight Preservation
lesswrong.com·5h
🔄ONNX
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DPO-F+: Aligning Code Repair Feedback with Developers' Preferences
arxiv.org·1d
🐕Ruff
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