Xqerl โ€“ Erlang XQuery 3.1 Processor
zadean.github.ioยท2dยท
Discuss: Hacker News
๐ŸนGo
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Show HN: I built a synth for my daughter
bitsnpieces.devยท20hยท
Discuss: Hacker News
๐Ÿš€Performance
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(PR) Tachyum Intros 2 nm Prodigy Universal Procesor Targeting Improved AI Rack Efficiency
techpowerup.comยท16h
๐Ÿš€Performance
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Writing MCP servers in Clojure with Ring and Malli
latacora.comยท2d
๐ŸนGo
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Just call clone (or alias)
smallcultfollowing.comยท2dยท
๐ŸนGo
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Ask HN: What's your top-recommended tuts for chatbot dev with local-hosted LLMs?
news.ycombinator.comยท1dยท
Discuss: Hacker News
๐ŸŒWebAssembly
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Generative AI and the bullshit singularity
daedtech.comยท1dยท
Discuss: Hacker News
๐Ÿš€Performance
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Adding Expertise to GenAI: An Insightful Study on Fine-Tuning
semiwiki.comยท20h
๐Ÿš€Performance
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Super Memory AI: From Basics to Advanced Implementation
dev.toยท1dยท
Discuss: DEV
โš™๏ธSystems Programming
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From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
arxiv.orgยท1d
๐Ÿš€Performance
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.orgยท3d
๐Ÿš€Performance
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LLM Concepts (Explained Without Making Your Brain Hurt): What Every Developer Should Know
dev.toยท1dยท
Discuss: DEV
๐Ÿš€Performance
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From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
arxiv.orgยท1d
๐Ÿš€Performance
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Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
arxiv.orgยท2d
๐Ÿš€Performance
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Automated Governance Risk Scoring & Mitigation via Multi-Modal Semantic Analysis
dev.toยท12hยท
Discuss: DEV
๐Ÿš€Performance
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
paperium.netยท3dยท
Discuss: DEV
๐Ÿš€Performance
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DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
arxiv.orgยท2d
๐Ÿš€Performance
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Inclusion of Role into Named Entity Recognition and Ranking
arxiv.orgยท2d
๐Ÿš€Performance
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First Rust Program, Hack Assembler from Nand2Tetris
reddit.comยท2dยท
Discuss: r/rust
๐Ÿ“C Programming
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Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
arxiv.orgยท2d
๐Ÿš€Performance
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