lzhoang2801/OpCore-Simplify
github.com·10h
📊Profiling Tools
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Choosing Between ML-KEM and ML-DSA for Your Post-Quantum Migration [Part 2]
myitbasics.com·1d·
Discuss: DEV
🔢Homomorphic Encryption
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Sonnet 3.5 vs 4.5: A real-world comparison debugging PostgreSQL internals
github.com·1d·
Discuss: r/ClaudeAI
🗄️Database Internals
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AI Integration with Webflow: From Design to Dynamic Workflows
vibe.forem.com·6h·
Discuss: DEV
🎭Program Synthesis
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Driving TFEL with RP2040: Offloading the CPU step by step (2021)
zephray.me·2d·
Discuss: Hacker News
🔄epoll
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Vibe-tuning: creating custom models with a prompt
distillabs.ai·19h·
Discuss: Hacker News
💬Prompt Engineering
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Enhanced Weather Forecasting via Spatio-Temporal Graph Neural Networks and Bayesian Calibration
dev.to·21h·
Discuss: DEV
⏱️Time Series Analysis
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Show HN: MainyDB – an embedded MongoDB-style database for Python
github.com·1d·
Discuss: Hacker News
🌱BonsaiDb
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Food as Soft Power: Taiwanese Gastrodiplomacy on Social Media and Algorithmic Suppression
arxiv.org·6h
📊Data Science
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AI Hive Mind: Building Shared Mental Spaces for Smarter Swarms
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
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AI's Cost: Human Displacement and Environmental Destruction
open.forem.com·1d·
Discuss: DEV
💬Prompt Engineering
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From Notebook to Production: A Pragmatic Playbook for Developers Who Ship
dev.to·1d·
Discuss: DEV
🎨Design Systems
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SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel ViewSynthesis
paperium.net·2d·
Discuss: DEV
🎨Computer Graphics
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🧠Understanding 6 Common Data Formats in Cloud Data Analytics
dev.to·1d·
Discuss: DEV
➡️Apache Arrow
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Ethics in AI Programming: Ensuring Fair and Transparent Algorithms
dev.to·3d·
Discuss: DEV
🛡️AI Security
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How AI Agents in Customer Services Are Transforming Businesses?
dev.to·1d·
Discuss: DEV
🤖Automation
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Forget the Math: A Beginner’s Guide to How Attention Powers GPT and Transformers
pub.towardsai.net·2d
🤖Transformers
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The Genesis Engine: Where AI Agents Debate and Design Your Next Application
dev.to·2d·
Discuss: DEV
🎭Program Synthesis
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
paperium.net·1d·
Discuss: DEV
💬Prompt Engineering
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