How to evaluate and benchmark Large Language Models (LLMs)
together.ai·1d
🔧Functional programming
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Java Generics and Collections • Maurice Naftalin & Stuart Marks • GOTO 2025
youtube.com·5d
🧮Functional Programming
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
⚡Algebraic Effects
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Algorithmic Complexity Reduction via Quantized State Space Search
🧮Functional Programming
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Intentionality
lesswrong.com·2h
🎨Procreate
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·1d
⚡Algebraic Effects
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Geonum – geometric number library for unlimited dimensions with O(1) complexity
⚡Algebraic Effects
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Can-t stop till you get enough
⚡Algebraic Effects
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How to build a Heapless Vector using `MaybeUninit<T>` for Better Performance.
⚡Algebraic Effects
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·2h
🔲Cellular Automata
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Most universal tools for learning embedded
🌳BSP Trees
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PDE-SHARP: PDE Solver Hybrids Through Analysis & Refinement Passes
arxiv.org·1d
🧮Functional Programming
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Logic point entities (Sourcelike)
⚔Roguelike
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