It's LIT! Reliability-Optimized LLMs with Inspectable Tools
arxiv.org·22h
🗣️Large Language Models
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Show HN: Lamina – A compiler back end that is not LLVM or Cranelift
github.com·16h·
Discuss: Hacker News
🔥PyTorch
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A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
arxiv.org·1d
🎯Optimization Theory
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Data Science Weekly – Issue 626
datascienceweekly.substack.com·3h·
Discuss: Substack
📊Data Science
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Robust peak detection algorithm using z-scores
stackoverflow.com·4d·
Discuss: Hacker News
📈Statistical Learning
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Tractable Probabilistic Models for Investment Planning
arxiv.org·1d
📊Optimization
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Foundations for autonomous finance – Part I
ldstn.substack.com·2d·
Discuss: Substack
📊Optimization
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Unfitted Lattice Green's Function Method for Exterior Scattering in Complex Geometry
arxiv.org·1d
📐Linear Algebra
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Spiral Development for Hardware Programs
asbuilt.pub·4h·
Discuss: Hacker News
🌐Distributed Systems
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A Function Inliner for Wasmtime and Cranelift
fitzgen.com·1d·
Discuss: Lobsters, Hacker News, r/rust
🗣️Large Language Models
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Railway Oriented Programming
fsharpforfunandprofit.com·1d·
Discuss: Hacker News
🗣️Large Language Models
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Don't Refactor Like Uncle Bob (Second Edition)
theaxolot.wordpress.com·2d·
Discuss: Hacker News, r/programming
🗣️Large Language Models
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Detection, Decoding of "Power Track" Predictive Signaling in Equity Market Data
github.com·1d·
Discuss: Hacker News
⏱️Time Series Analysis
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A Stochastic Genetic Interacting Particle Method for Reaction-Diffusion-Advection Equations
arxiv.org·2d
🤖AI
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TSFM in-context learning for time-series classification of bearing-health status
arxiv.org·22h
📈Statistical Learning
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Multimodal Wireless Foundation Models
arxiv.org·22h
📡Information Theory
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Perennial Technical Reading List
parallelprogrammer.substack.com·1d·
Discuss: Substack
🌐Distributed Systems
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QPU Micro-Kernels for Stencil Computation
arxiv.org·2d
🔥PyTorch
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AI/ML for Biology and Healthcare: A Learning Path
iamtk.co·4d·
Discuss: Lobsters, Hacker News
📊Data Science
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Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model
arxiv.org·1d
∂Automatic Differentiation
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