Equation Discovery, Parametric Simulation, and Optimization Using the Physics-Informed Neural Network (PINN) Method for the Heat Conduction Problem
arxiv.org·23h
📊Vector Databases
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·11h
🏗️LLM Infrastructure
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Don't give Postgres too much memory
🔮Prefetching
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Rearchitecting Vector Search: A Migration from MongoDB Atlas to Qdrant
pub.towardsai.net·20h
🎯Qdrant
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Your AI Models Aren’t Slow, but Your Data Pipeline Might Be
thenewstack.io·9h
📊Model Serving Economics
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MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons
semiengineering.com·10h
🏗️LLM Infrastructure
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
🖥GPUs
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How Distributed ACID Transactions Work in TiDB
pingcap.com·11h
🏗️FoundationDB
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From Lossy to Lossless Reasoning
🔤Tokenization
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Fungus: The Befunge CPU(2015)
⚙️Mechanical Sympathy
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Examining the Future: Vertex's Earnings Outlook
nordot.app·10h
🖥GPUs
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We’re back with episode 2 of 1 IDEA! Today, Vinay Perneti (VP of Eng @ Augment Code) shares his own Bottleneck Test
🧭Content Discovery
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Exploring PKM concepts
nhlism.bearblog.dev·6h
✏️Code Editors
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Structurally Valid Log Generation using FSM-GFlowNets
arxiv.org·23h
🔄Incremental Computation
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Introducing Project Telos: Modeling, Measuring, and Intervening on Goal-directed Behavior in AI Systems
lesswrong.com·18h
🛡️AI Safety
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StreetMath: Study of LLMs' Approximation Behaviors
arxiv.org·23h
🏆LLM Benchmarking
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