My Experience as a SDE Intern at AWS
simho.xyzยท44mยท
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๐Ÿ› ๏ธDeveloper Tools
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.orgยท2h
โšกLLM Optimization
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Linkers: A 20 Part Series
airs.comยท8hยท
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๐Ÿ› ๏ธDeveloper Tools
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I Built a One File Edge Probe to Tell Me When Time Is Lying
physical-ai.ghost.ioยท17hยท
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๐Ÿ”“Hacking
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Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
arxiv.orgยท2h
โšกLLM Optimization
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STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
arxiv.orgยท2h
โšกLLM Optimization
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From searching to solving: how Vector Databases transform product discovery
dev.toยท23hยท
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โšกLLM Optimization
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Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.orgยท2h
โšกLLM Optimization
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3 Experiments That Reveal the Shocking Inner Life of AI Introduction: Is Anybody Home?
hackernoon.comยท8h
๐Ÿค–AI
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Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
arxiv.orgยท2h
โšกLLM Optimization
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Quantum Network Tomography for General Topology with SPAM Errors
arxiv.orgยท2h
โšกLLM Optimization
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Geonum โ€“ geometric number library for unlimited dimensions with O(1) complexity
github.comยท17hยท
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โšกModel Efficiency
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Document-Driven Development in Next.js: How I Stopped Losing My Mind Managing Requirements
danielkliewer.comยท19hยท
โœ๏ธPrompt Engineering
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RegionRAG: Region-level Retrieval-Augumented Generation for Visually-Rich Documents
arxiv.orgยท1d
โšกLLM Optimization
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.orgยท1d
โšกLLM Optimization
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Efficient Test-Time Retrieval Augmented Generation
arxiv.orgยท2h
โšกLLM Optimization
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Finding Non-Redundant Simpson's Paradox from Multidimensional Data
arxiv.orgยท2h
๐Ÿ”AI Interpretability
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
arxiv.orgยท2h
๐Ÿ”AI Interpretability
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Daily Artificial Intelligence Digest - Nov 04, 2025
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๐Ÿ”AI Interpretability
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