Building an Accessible Before/After Slider in React
jsdev.space·4h·
Discuss: Hacker News
⚛️React
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Show HN: JermCAD – A YAML-powered, vibe-coded, browser-based CAD software
github.com·1d·
🎨Computer Graphics
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Experiences with AI-Generated Pornography
link.springer.com·2d·
Discuss: Hacker News
🔍RAG
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Learning to Model the World with Language
dynalang.github.io·9h·
Discuss: Hacker News
🌳Tree-sitter
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·19h·
Discuss: r/LocalLLaMA
🌳Tree-sitter
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NDC Conferences: The future & challenges of cloud - Anders Lybecker - NDC Copenhagen 2025
dev.to·14h·
Discuss: DEV
🏗️System Design
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Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
arxiv.org·1d
📱Edge AI
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Unleash AI Potential: Mastering Automated Data Labeling for Unprecedented Model Accuracy
dev.to·2d·
Discuss: DEV
🧠Machine Learning
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Run LLMs Locally
ikangai.com·1d·
Discuss: Hacker News
🚀Performance
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The 10 Best Kubernetes Management Tools using AI for 2026
dev.to·3h·
Discuss: DEV
☸️Kubernetes
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Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model
dev.to·1d·
Discuss: DEV
🔥PyTorch
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Probabilistic Textual Time Series Depression Detection
arxiv.org·4h
📊Data Science
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Computational Turing Test Reveals Systematic Differences Between Human and AI Language
arxiv.org·4h
📝Parsing
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Mastering Feature Selection Techniques with R
dev.to·3d·
Discuss: DEV
🧠Machine Learning
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How to implement Agentic AI in the enterprise?
dev.to·1d·
Discuss: DEV
📱Edge AI
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·4h
🎯Reinforcement Learning
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Accelerated Dielectric Barrier Coating Optimization via Multi-Modal Data Fusion & Bayesian Hyperparameter Tuning
dev.to·3d·
Discuss: DEV
🧠Machine Learning
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Enhanced Radiation Sterilization Verification via Hyperdimensional Data Fusion and Bayesian Calibration
dev.to·12h·
Discuss: DEV
🧠Machine Learning
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From AI to NLP: The Four Phases of Language Understanding
dev.to·1d·
Discuss: DEV
💬Natural Language Processing
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·3d
📱Edge AI
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