#Poetry from David Hernandez
putah-creek.tumblr.com·11h
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DCP-o-matic • Re: 5.1 Mix Doubt for DCP
dcpomatic.com·7h
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AI-Powered Semantic Search in Symfony Using PHP and OpenAI Embeddings
phpcmsframework.com·2d·
Discuss: Hacker News
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Red Flags in Social Media: Why It’s Vital to Track Them
hackernoon.com·19h
💻software engineering
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<a href=https://aartaka.me/customize-ed-2>Read on the website: </a>
aartaka.me·3d·
Discuss: r/programming
💻software engineering
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Smooth Page Transitions with Zero Libraries: The View Transitions API
codepen.io·1d·
Discuss: DEV
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You'll fly through the terminal once you master these 5 Bash shortcuts
makeuseof.com·2d
💻software engineering
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the terminal of the future
jyn.dev·2d·
Discuss: Lobsters, Hacker News
💻software engineering
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Project OSSAS: Custom LLMs to Process 100M Research Papers
inference.net·17h·
Discuss: Hacker News
💻software engineering
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A compact syntax for XProc?
so.nwalsh.com·3d
💻software engineering
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I hate my younger sister so much, but I really want to know what I could change because my life is falling apart and i just
reddit.com·1h·
Discuss: r/family
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How Point Cloud to BIM Helps Surveyors Reduce Costs and Save Time
scantobim.online·3d·
Discuss: DEV
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“Hello Alice!” - A Production-Ready scaffold in NPL
reddit.com·19h·
Discuss: r/programming
💻software engineering
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Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
arxiv.org·5h
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Emotional Schottenheimer on Kneeland's death: 'We don't move on, but we do move forward'
nytimes.com·12h
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LLMGoat - Vulnerable environment to learn OWASP Top 10 for LLM apps
github.com·2d·
Discuss: r/selfhosted
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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·20h·
Discuss: r/rust
💻software engineering
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Cleaner Terraform: Stop Writing Backwards Conditionals
dev.to·1d·
Discuss: DEV
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GastroDL-Fusion: A Dual-Modal Deep Learning Framework Integrating Protein-Ligand Complexes and Gene Sequences for Gastrointestinal Disease Drug Discovery
arxiv.org·2d
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Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed framework
arxiv.org·1d
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