How Race Conditions Can Break Your System?
linkedin.com·2d·
Discuss: DEV
👩‍💻Programming
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🏗️ Mastering Infrastructure as Code: From Manual Chaos to Multi-Cloud Orchestration [Week-7—P1] ⚡
linkedin.com·12h·
Discuss: DEV
👩‍💻Programming
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Optimizing Datalog for the GPU
dl.acm.org·2d·
Discuss: Lobsters
🧮Algorithms
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TigerFans: Building a High-Performance Ticketing System with TigerBeetle
renerocks.ai·10h·
Discuss: Hacker News
🧮Algorithms
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Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research
pingu.audn.ai·13h·
Discuss: Hacker News
🤖AI
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The Production Generative AI Stack: Architecture and Components
thenewstack.io·1d
🤖AI
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MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems
paperium.net·1d·
Discuss: DEV
📈Machine Learning
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A Friendly Tour of Process Memory on Linux
0xkato.xyz·4d·
Discuss: Hacker News
👩‍💻Programming
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Traditional Data Centers ‘Not Fit for Purpose,’ Say Half of EMEA IT Leaders, as AI and Energy Pressures Collide
news.lenovo.com·2d
🤖AI
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Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory
nature.com·2d
🤖AI
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Sometimes Postgres Isn't the Answer
pomerium.com·16h·
Discuss: Hacker News
🗄️Databases
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Forked A/B Index Optimizer: Making Database Optimization Accessible to Everyone
dev.to·20h·
Discuss: DEV
🧮Algorithms
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Google’s Ironwood TPUs represent a bigger threat than Nvidia would have you believe
theregister.com·1d
👩‍💻Programming
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Linking and shrinking Rust static libraries: a tale of fire
centricular.com·1d·
👩‍💻Programming
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Tracking Down Progressively-Enhanceable APIs
willhbr.net·22h
👩‍💻Programming
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Cut AI Costs Without Losing Capability: The Rise of Small LLMs
dev.to·4h·
Discuss: DEV
🤖AI
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50 % smaller LLM same PPL, experimental architecture
reddit.com·1h·
Discuss: r/LLM
📈Machine Learning
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Building blobd: single-machine object store with sub-millisecond reads and 15 GB/s uploads
blog.wilsonl.in·5d·
🧮Algorithms
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