StreetMath: Study of LLMs' Approximation Behaviors
arxiv.orgยท16h
๐Ÿ”ML Language
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The Machine Learning Projects Employers Want to See
towardsdatascience.comยท6h
๐Ÿ› programming language development
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From Lossy to Lossless Reasoning
manidoraisamy.comยท2hยท
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๐ŸชœRecursive Descent
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.comยท10h
๐Ÿ’ฌSmalltalk VMs
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Daily Artificial Intelligence Digest - Oct 31, 2025
dev.toยท18hยท
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๐ŸŽญProgram Synthesis
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Opportunistically Parallel Lambda Calculus
dl.acm.orgยท22hยท
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๐ŸŒฑMinimal Languages
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Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
arxiv.orgยท16h
๐Ÿ”ML Language
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.comยท14hยท
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๐Ÿ”ML Language
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Building a Rules Engine from First Principles
towardsdatascience.comยท1d
โš–๏ธInference Rules
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๐Ÿšซ๐Ÿ“ฉ Build a Spam Message Classifier with Python (Step-by-Step for Beginners)
dev.toยท7hยท
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โš–๏ธWeighted Automata
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Recommendation for powerful llm in Art History and Design thinking?
reddit.comยท9hยท
Discuss: r/LLM
๐Ÿ”ML Language
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Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens
arxiv.orgยท16h
๐Ÿ“‹S-Expression
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.comยท1hยท
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๐ŸLanguage Benchmarks
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In a First, AI Models Analyze Language As Well As a Human Expert
quantamagazine.orgยท5hยท
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๐ŸชœRecursive Descent
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My ML Learning Journey: From Confusion to Building a Working Model
dev.toยท14hยท
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๐Ÿ”ML Language
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Beyond the Black Box: Making LLM Decoding Truly End-to-End
dev.toยท3hยท
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๐ŸชœRecursive Descent
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AI Experiments: Fast Inference with Groq and Third-Party Tools with Kimi K2 in TypingMind
macstories.netยท1d
๐ŸŒฑMinimal Interpreters
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Squeezing AI into Tiny Spaces: The Integer Revolution
dev.toยท1dยท
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๐ŸŽฏBit Vectors
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