How Starting a Side Project Can Help Cool Off Burnout
spectrum.ieee.org·4h
📚Technical Writing
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Show HN: DeepFaceLab – Free AI Face Swap Online
deepfacelab.app·18h·
Discuss: Hacker News
🔥PyTorch
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Furniture E-Commerce Widget, Nano Banana
aifurniture.app·12h·
Discuss: Hacker News
📊Data Visualization
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PolyForm Noncommercial 2.0.0-pre.2
writing.kemitchell.com·1d·
Discuss: Hacker News
🌐Open Source
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Complexity fills the space it's given
wilsoniumite.com·13h·
Discuss: Hacker News
⚙️Systems Programming
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Technocalvinism
blog.cosmos-institute.org·1d·
Discuss: Hacker News
📵Digital Minimalism
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KubeCon NA vCluster Schedule: Come Visit us and get some books signed, and check out what we're doing with GPUs and Multitenancy
reddit.com·5h·
Discuss: r/kubernetes
☸️Kubernetes
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Quest for Permissively Licensed PDF Library in C#
duerrenberger.dev·2d·
Discuss: Hacker News
🔤Typography
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Getting Started with Generative AI Models: Concepts and Building Blocks
pub.towardsai.net·17h
🎨Creative Coding
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Leaving PyTorch and Meta
soumith.ch·3h·
Discuss: Hacker News
🔥PyTorch
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Building a P2P Rental Marketplace - Full-Stack Architecture with Flutter & Express.js
revolvo.tech·1d·
Discuss: DEV
🌐Axum
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Atomically accurate de novo design of antibodies with RFdiffusion
nature.com·1d·
Discuss: Hacker News
🎭Program Synthesis
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Detached agent chains that work like people do
dev.to·23h·
Discuss: DEV
🤖Automation
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Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
arxiv.org·17h
⚡Incremental Computation
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Code That Writes Itself: The Era of Example-Driven Programming by Arvind Sundararajan
dev.to·17h·
Discuss: DEV
🎭Program Synthesis
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Distributed Media Inferencing with Kafka
dev.to·2h·
Discuss: DEV
🌊Stream Processing
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·17h
💬Natural Language Processing
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How to deploy you NFT on Sepolia - Simple and 100% under control
dev.to·6h·
Discuss: DEV
🐝Cilium
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My query languages library pivot
dev.to·7h·
Discuss: DEV
🔥DataFusion
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The AI Stack We Trust: Tools, Frameworks, and Practices We Use in Production
dev.to·17h·
Discuss: DEV
🚀MLOps
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