LLM Applications, Chains, Prompt Engineering, AI Orchestration

What Should I Work on Next? A Framework for High-Impact Security Work
engseclabs.com·3h·
Discuss: Hacker News
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What I learned building a language-learning app
chadnauseam.com·2d·
Discuss: Hacker News
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Learning Rust by building vs. books and You Tube videos
reddit.com·7h·
Discuss: r/rust
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Why 95% of AI Pilots Fail — and What the Other 5% Do Differently
salesforce.com·5h
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·3d·
Discuss: DEV
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Why AI code fails differently: What I learned talking to 200 engineering teams
news.ycombinator.com·6h·
Discuss: Hacker News
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Rusty-R2: Open source AI you can actually train yourself on consumer hardware
github.com·17h·
Discuss: r/LocalLLaMA
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“Hello Alice!” - A Production-Ready scaffold in NPL
reddit.com·7h·
Discuss: r/programming
nextjs
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Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
arxiv.org·17h
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QueST: Incentivizing LLMs to Generate Difficult Problems
dev.to·2d·
Discuss: DEV
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Why Rust is Revolutionizing Game Development: Performance, Safety, and Future-Ready Code
dev.to·23h·
Discuss: DEV
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Next-Latent Prediction Transformers Learn Compact World Models
arxiv.org·1d
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Efficient Long-context Language Model Training by Core Attention Disaggregation
dev.to·11h·
Discuss: DEV
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Gonka.ai – Decentralized Infrastructure for AI
github.com·2d·
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Painless Vibe-Coding: A Complete Practical Guide from Real-Life Experience
dev.to·1d·
Discuss: DEV
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Code Smell 314 - Model Collapse
dev.to·1d·
Discuss: DEV
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building a rust + python cli tool for cleaning messy data into ai-ready json, is this good enough for resume?
reddit.com·8h·
Discuss: r/rust
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
arxiv.org·1d
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