An introduction to program synthesis (Part II) - Automatically generating features for machine learning
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๐ŸŽญProgram Synthesis
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Show HN: Kumi โ€“ a portable, declarative, functional core for business logic
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๐Ÿ”—Dependent Types
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AILA--First Experiments with Localist Language Models
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๐Ÿ“Parsing
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Continuous Autoregressive Language Models
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๐Ÿ“ฑEdge AI
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News for October 2025
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โœ…Property Testing
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BoolSkel: Unlocking Boolean Network Efficiency Through Structural Pruning by Arvind Sundararajan
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โญ๏ธSkip Lists
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The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't
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๐Ÿ’ฌPrompt Engineering
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The 5 FREE Must-Read Books for Every LLM Engineer
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๐Ÿ’ฌPrompt Engineering
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PAINT25 Invited Talk transcript: โ€œNotational Freedom via Self-Raising Diagramsโ€
programmingmadecomplicated.wordpress.comยท1d
๐Ÿ”คLanguage Design
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Thinking with Types: type-level programming in Haskell
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๐Ÿ“Type Theory
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Rodrigo Girรฃo Serrรฃo: A generator, duck typing, and a branchless conditional walk into a bar
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ฮปFunctional Programming
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Algorithmic Complexity Reduction via Quantized State Space Search
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โš›๏ธQuantum Computing
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Iโ€™ve indexed all Strange Loop conference talks so you can use semantic search to find relevant videos
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๐Ÿ”จCompiler Design
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Cyclic Proofs for iGL via Corecursion
arxiv.orgยท1d
๐ŸงฎSMT Solvers
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
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๐Ÿ“ฑEdge AI
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
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๐Ÿ’ฌPrompt Engineering
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.orgยท1h
๐Ÿ”ดRed-Black Trees
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Writing an LLM from scratch, part 27 โ€“ what's left, and what's next?
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๐Ÿ’ฌPrompt Engineering
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Creating Lisp Systems
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๐ŸญCode Generation
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A unified physics-informed generative operator framework for general inverse problems
arxiv.orgยท1h
๐Ÿ“Linear Algebra
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