LLM Applications, Chains, Prompt Engineering, AI Orchestration

Interview: Can AI Comprehend The Complexities Of Indian Courtrooms?
nordot.app·12m
🤖AI
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What Should I Work on Next? A Framework for High-Impact Security Work
engseclabs.com·10h·
Discuss: Hacker News
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The Continuum of Network Architecture
cacm.acm.org·1d
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What I learned building a language-learning app
chadnauseam.com·2d·
Discuss: Hacker News
🤖AI
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Why 95% of AI Pilots Fail — and What the Other 5% Do Differently
salesforce.com·12h
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Why AI code fails differently: What I learned talking to 200 engineering teams
news.ycombinator.com·14h·
Discuss: Hacker News
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Space-Efficient and Output-Sensitive Algorithms for the Longest Common Bitonic Subsequence
arxiv.org·55m
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Scale AI Open Sourced Agentex
github.com·6h·
Discuss: Hacker News
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
arxiv.org·2d
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Learning Rust by building vs. books and You Tube videos
reddit.com·14h·
Discuss: r/rust
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How I Built a "Community Prayer Quilt" in 5 Minutes
dev.to·10h·
Discuss: DEV
nextjs
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FaithAct: Faithfulness Planning and Acting in MLLMs
arxiv.org·1d
🤖AI
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Tech With Tim: Python for Machine Learning - Complete Roadmap!
dev.to·7h·
Discuss: DEV
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Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
arxiv.org·1d
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Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
arxiv.org·2d
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·2d
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Conceptual reasoning dataset v0.1 available (AI for AI safety/AI for philosophy)
lesswrong.com·1d
🤖AI Tools
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ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
dev.to·1d·
Discuss: DEV
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Local, multi-model AI that runs on a toaster. One-click setup, 2GB GPU enough
github.com·1d·
Discuss: r/LocalLLaMA
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