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How to boost mental health without pills or therapy
timesofindia.indiatimes.com·1d
🧘Wellbeing
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The four surprisingly easy ways to fight seasonal depression during winter
independent.co.uk·20h
🧘Wellbeing
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LoRA Model – LoRA-focused image generation hub that reduces "choice friction"
loramodel.org·2h·
Discuss: Hacker News
💬Prompt Engineering
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Weekly Update: New Skin, New Experience
ludonauta.itch.io·21h
🌿Digital Gardens
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Stainless Docs Platform — Early Access
stainless.com·1d·
Discuss: Hacker News
📝Neovim
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Yeah, I'm not confident a full ceramic keyboard really makes sense, but this is still pretty cool from Keychron
windowscentral.com·1d
⌨️Mechanical Keyboards
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·2d·
Discuss: r/programming
💬Prompt Engineering
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·1d
🤖AI
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·3d·
Discuss: Hacker News
💬Prompt Engineering
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How to Search in the Linux Terminal and Find Anything Fast
maketecheasier.com·3d
🐧Linux
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AltSchool Of Engineering Tinyuka’24 Month 9 Week 2
dev.to·2h·
Discuss: DEV
🏠Self-Hosting
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A large electroencephalogram database of freewill reaching and grasping tasks for brain machine interfaces
nature.com·20h
🧠Cognitive Science
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Performance Optimization for JS
dev.to·3h·
Discuss: DEV
💬Prompt Engineering
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SAP’s AI Model “sap-rpt-1” is a Research Project, Not a Revolution
pub.towardsai.net·1d
💬Prompt Engineering
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My Hands-On Review of Kimi K2 Thinking: The Open-Source AI That's Changing the Game
reddit.com·1d·
Discuss: r/LocalLLaMA
💬Prompt Engineering
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Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
arxiv.org·2d
💬Prompt Engineering
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[RoastMyProject] My first App that's written in 100% Go and no JS
reddit.com·18h·
Discuss: r/golang
📝Neovim
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Building an AI-Powered Resume Tailoring Pipeline: Lessons Learned
dev.to·18h·
Discuss: DEV
📝NLP
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LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care
arxiv.org·1d
🧠Machine Learning
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