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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🔗Memory Linearization
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·10h·
Discuss: r/LocalLLaMA
🧪Parser Testing
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LLM & AI Agent Applications with LangChain and LangGraph — Part 3
pub.towardsai.net·1h
📊LR Parsing
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Department of Computer Science and Technology – Technical reports: UCAM-CL-TR-949
cl.cam.ac.uk·7h·
Discuss: Hacker News
🏰Capability Machines
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Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
arxiv.org·3d
🪜Recursive Descent
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No, Small Models Are Not the "Budget Option" (English)
mostlylucid.net·4h
🚂Error Propagation
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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·7h·
Discuss: Hacker News, r/programming
🔗Memory Linearization
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The answer is in your heap: debugging a big memory increase in Ruby on Rails
island94.org·1d
📊Memory Profilers
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robertjeffrey1236/Radial-Hyperbolic-Architecture-Prototype: Python prototype for efficient hierarchical computing in Poincaré disk. Features dual Φ spirals, fractal recursion, lazy loading, multi-point observers with portals, Φ percolation for Penrose shadows, atomic scaling with wormholes/phonons, and music substrate via JI harmonics. Simulates emergent patterns on bounded resources.
github.com·2h·
Discuss: Hacker News
🔬Nanopasses
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Meeting Seed7
genodians.org·1d
🌱Forth Kernels
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Introducing the XLab AI Security Guide
lesswrong.com·12h
🛡️Security Type Systems
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Python 3.6-3.14 Performance on M1, M5 and Zen2
crewtech.se·1d·
Discuss: Hacker News
📋JSON Parsing
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
🔀SIMD Programming
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We Lost the Thread on the Data Lake
blog.matterbeam.com·6h·
Discuss: Hacker News
💾Persistent Heaps
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·18h
🔧LLVM IR
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Why are we worried about memory access semantics? Full barriers should be enough for anybody
devblogs.microsoft.com·1d·
Discuss: Hacker News
🎯Ring Buffers
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A guide to convolution arithmetic for deep learning
paperium.net·1d·
Discuss: DEV
🗺️Region Polymorphism
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Speed, supply chains, and strategy converge in Nvidia's $20 billion quasi-acquisition of Groq
the-decoder.com
·13h
💾Allocator Design
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·14h
🌱Minimal ML
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You Do NOT need augmentations to train your Classifiers!!
dev.to·15h·
Discuss: DEV
🌱Minimal ML
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