The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.com·5h
🦀Rust
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Ditch your (Mut)Ex, you deserve better
🦀Rust
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Deep Learning for Molecules and Materials
🦀Rust
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Thick practices for AI tools
lesswrong.com·8h
🦀Rust
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Derek Elkins: Umbral Calculus
hedonisticlearning.com·1d
🦀Rust
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glacier-creative-git/knowledge-graph-traversal-semantic-rag-research: Completed research on semantic retrieval augmented generation through novel knowledge grap...
github.com·2d
🦀Rust
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Persuading Stable Matching
arxiv.org·1d
🦀Rust
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STAIR: Stability criterion for Time-windowed Assignment and Internal adversarial influence in Routing and decision-making
arxiv.org·16h
🦀Rust
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A General Probability Density Framework for Local Histopolation and Weighted Function Reconstruction from Mesh Line Integrals
arxiv.org·16h
🦀Rust
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Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale
arxiv.org·16h
🦀Rust
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Enhancing Robustness of Graph Neural Networks through p-Laplacian
arxiv.org·16h
🦀Rust
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Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
arxiv.org·16h
🦀Rust
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How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
arxiv.org·16h
🦀Rust
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