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Software design is refinement, not abstraction (2022)
sicpers.info·14h·
Discuss: Hacker News
✍️Prompt Engineering
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Winning at the Edges
holenventures.com·4h·
Discuss: Hacker News
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The Learning Loop and LLMs
martinfowler.com·2d·
Discuss: Hacker News, Hacker News, Hacker News, r/programming
✍️Prompt Engineering
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AI's 70% Problem
zed.dev·1d·
Discuss: Lobsters, Hacker News
✍️Prompt Engineering
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AI Agent Orchestration Frameworks
blog.n8n.io·2d·
Discuss: Hacker News
🔍AI Interpretability
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Build a Docusaurus-like Site with FastAPI: Step 3 - Code Highlighting
dev.to·10h·
Discuss: DEV
🐍Python
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Day 26: Python Book Sorter, Sort a Library by Page Count with Lambda Keys
dev.to·1d·
Discuss: DEV
🕷️Web Scraping
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Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
arxiv.org·3d
⚡LLM Optimization
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The Secret Life of Python: The String Intern Pool - When Two Strings Are One Object
dev.to·9h·
Discuss: DEV
🐍Python
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Quantum-Resistant Federated Learning: Securing Distributed Model Training Against Post-Quantum Cryptographic Threats
dev.to·3h·
Discuss: DEV
🔒Cybersecurity
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Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
arxiv.org·1d
🔍AI Interpretability
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Announcing SlopGuard — Open-Source Defence Against AI Supply Chain Attacks
dev.to·1h·
Discuss: DEV
🔓Hacking
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D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
arxiv.org·1d
⚡LLM Optimization
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How I Use AI to Build Frontend Apps: My Candid, Messy Process
dev.to·3d·
Discuss: DEV
✍️Prompt Engineering
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Automated Simulation Anomaly Detection via Multi-Modal Graph Analysis and Reinforcement Learning
dev.to·2d·
Discuss: DEV
🔍AI Interpretability
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Think Smaller: The Counterintuitive Path to AI Adoption
oreilly.com·2d
✍️Prompt Engineering
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AI won’t replace you, but bad AI habits will
dev.to·2d·
Discuss: DEV
✍️Prompt Engineering
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A beginner's guide to the Flux-Fast model by Prunaai on Replicate
dev.to·1d·
Discuss: DEV
⚡Model Efficiency
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The Dublin Protocol Manifesto
dev.to·9h·
Discuss: DEV
🔍AI Interpretability
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Explaining Human Choice Probabilities with Simple Vector Representations
arxiv.org·1d
✍️Prompt Engineering
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