Beyond the Medallion: Rethinking Data Architecture
blog.matterbeam.com·3d·
Discuss: Hacker News
🎴TAO
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React for Datasets
usetorque.dev·3d·
Discuss: Hacker News
🎨Design Systems
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Academic Survey on NAS and RNN Models [R]
reddit.com·18h·
Discuss: r/MachineLearning
🔬Deep Learning
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Accumulating Context Changes the Beliefs of Language Models
lm-belief-change.github.io·3d·
Discuss: Hacker News
🚀MLOps
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What's the current best long-form TTS workflow (≤12 GB VRAM) with Elevenlabs-like audiobook output?
reddit.com·2h·
Discuss: r/LocalLLaMA
⌨️Text Editors
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AI for 23 Million People: The Quiet Revolution of Assamese NLP
pub.towardsai.net·20h
📝Parsing
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The Ultimate Guide to Build Apps with Secure and Scalable Architecture
reddit.com·1d·
Discuss: r/ClaudeAI
🏗️System Design
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ArahiAI – A no-code platform for building AI agents that take real actions
news.ycombinator.com·1d·
Discuss: Hacker News
🛡️AI Security
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Tech With Tim: 3 Unique Python Features You NEED To Know
dev.to·2d·
Discuss: DEV
🐍Python
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Building Local AI Agents from Your Terminal with Opperator
dev.to·2d·
Discuss: DEV
🤖Automation
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AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs
arxiv.org·5d
🌳Tree-sitter
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Top 10 AI Features for Modern WYSIWYG Editors
dev.to·5d·
Discuss: DEV
⌨️Text Editors
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·22h·
Discuss: DEV
💬Prompt Engineering
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NDC Conferences: The future & challenges of cloud - Anders Lybecker - NDC Copenhagen 2025
dev.to·16h·
Discuss: DEV
☁️Cloud Computing
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# 🏗️ Understanding Go Project Structure (Without Losing Your Mind)
dev.to·1d·
Discuss: DEV
⌨️CLI Development
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·4h·
Discuss: DEV
💬Prompt Engineering
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Jeff Su: 4 ChatGPT Hacks that Cut My Workload in Half
dev.to·2h·
Discuss: DEV
💬Prompt Engineering
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Developer Case Study: Cursor and Claude Code Suggested Building a Proxy. Shotgun CLI Found LiteLLM Instead.
dev.to·3d·
Discuss: DEV
🎭Program Synthesis
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My Software Journey So Far And Where I'm Going Next
dev.to·3d·
Discuss: DEV
🎨API Design
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Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
arxiv.org·2d
🚀MLOps
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