When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
microsoft.com·4d
🗂️Obsidian
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Automated PDF Generation with Typst
typst.app·4d·
Discuss: Hacker News
🏗data engineering
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Stargate Abilene: A Citrini Field Trip
citriniresearch.com·2d·
Discuss: Hacker News
🏠Data Lakehouse
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"erase startup-config" isn't enough
alyx.sh·1d·
🕵️Memory Forensics
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Vibe Code Warning – from 1k to 10k lines, a personal casestudy
github.com·22h·
Discuss: Lobsters
🔬Code Analysis
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MariaDB vs. PostgreSQL: Understanding the Architectural Differences That Matter
mariadb.org·6d·
Discuss: Hacker News
⚙️Database Internals
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Abusing the Harvard Architecture in Nand2Tetris Assembly
ashdnazg.github.io·2d·
Discuss: Hacker News
SIMD Optimization
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My go-to prompt for legacy code exploration
leftofthe.dev·1d·
Discuss: Hacker News
🌳Git
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Deep learning models simultaneously trained on multiple datasets improve base-editing activity prediction
nature.com·3d
📊Columnar Engines
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🧠 I built a full system monitor in Bash — and fought awk along the way 💀
dev.to·6d·
Discuss: DEV
📋Tokei
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AnyUp: Universal Feature Upsampling
paperium.net·2d·
Discuss: DEV
📊Columnar Engines
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·5h
🔍AI Detection
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SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
arxiv.org·1d
🔐Privacy Engineering
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🌍 Automating Africa’s Energy Data Collection Using Python, Playwright, and MongoDB (2000–2024)
dev.to·6d·
Discuss: DEV
🔄ETL Pipelines
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Process Bottleneck Breakthrough: AI-Powered Outcome Prediction
dev.to·6d·
Discuss: DEV
🏗data engineering
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·5d
📊Columnar Engines
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
dev.to·5d·
Discuss: DEV
📊Approximate Computing
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Understanding Kafka Lag: Why It Happens and How to Fix It
dev.to·1d·
Discuss: DEV
🌊Stream Processing
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Hands-On with Kubernetes 1.33: My PoC on In-Place Vertical Scaling
dev.to·2h·
Discuss: DEV
📊AWS Analytics
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