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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
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🗺️Region Inference
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Correction: A species-wide inventory of receptor-like kinases in Arabidopsis thaliana
link.springer.com·3h
✨Effect Inference
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Introducing Pkl, a programming language for configuration
pkl-lang.org·5h
⚙️Configuration Parsing
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Department of Computer Science and Technology – Technical reports: UCAM-CL-TR-949
cl.cam.ac.uk·2h·
Discuss: Hacker News
🏰Capability Machines
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Meeting Seed7
genodians.org·1d
🌱Forth Kernels
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·5h·
Discuss: r/LocalLLaMA
🧪Parser Testing
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·13h
🔧LLVM IR
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TOON for LLMs: A Comparative Performance Analysis against JSON
gist.github.com·8h·
Discuss: DEV
📋JSON Parsing
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·9h
🌱Minimal ML
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Upper Palaeolithic genomes reveal deep roots of modern Eurasians
nature.com·7h
🏺Code Archeology
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Virtualization: Theory to Silicon
pooladkhay.com·11h·
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🖥️Minimal VMs
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The Case for Snake Case: A Kolmogorov Complexity Argument
modulovalue.com·1d·
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🎮Language Ergonomics
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A guide to convolution arithmetic for deep learning
paperium.net·1d·
Discuss: DEV
🗺️Region Inference
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Demystifying Fuzzer Behaviour (39c3)
cdn.media.ccc.de·10h
🎲Parser Fuzzing
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Performance Hints for BigQuery
trmlabs.com·5h·
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📈Query Optimization
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Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
arxiv.org·2d
🪜Recursive Descent
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Resolving Names Once and for All
thunderseethe.dev·1d·
Discuss: r/programming
🔗Lexical Scoping
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·9h·
Discuss: DEV
📊DataFrame Types
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Introducing the XLab AI Security Guide
lesswrong.com·7h
🛡️Security Type Systems
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
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🪜Recursive Descent
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