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MIT's Recursive Language Models Improve Performance on Long-Context Tasks
infoq.com·1d
🌱Minimal ML
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Context-Free Grammar Inference for Complex Programming Languages in Black Box Settings
arxiv.org·14h
Comptime Parsers
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What are Recursive Language Models (RLM)?
analyticsvidhya.com·1d
📊LR Parsing
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Interactive Gradient Descent Demo
blog.skz.dev·16h
🔄Loop Optimization
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A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification
arxiv.org·14h
📊LR Parsing
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MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot
venturebeat.com·22h·
Discuss: r/technews
📐Standard ML
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Datomic - Datomic at Clojure/Conj 2025
blog.datomic.com·20h
🌲Deforestation
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Deep learning as program synthesis
lesswrong.com·1d·
🎭Program Synthesis
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From 75% to 99.6%: The Math of LLM Ensembles
shibaprasadb.com·11h·
Discuss: Hacker News
🔍ML Language
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ChatGPT’s Laws of Machine Learning
shruggingface.com·16h
🌱Minimal ML
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istmarc/tenseur: C++23 Tensor, neural networks and mathematical library
github.com·55m·
Discuss: r/cpp
🦀MIR Optimization
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Why not tail recursion?
futhark-lang.org·1d·
🔄Tail Recursion
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Day 4 : How Machines Learn From Their Mistakes
dev.to·1d·
Discuss: DEV
🚂Error Propagation
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Patterns All the Way Down: A Generalization for Graph-Like Things
medium.com·3h·
Discuss: Hacker News
🪢Rope Data Structures
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Evolution of LLMs use by a programmer
asfaload.com·2h·
Discuss: Hacker News
🎮Language Ergonomics
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An AI Skill for Skeptical Dependency Management
nesbitt.io·19h
🌳Tree Shaking
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Constraints Not Loops: Building Features in Reverse
coey.dev·19h
🔗Parser Combinators
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No Libraries No Shortcuts: Reasoning LLMs from Scratch with PyTorch — Part 2
pub.towardsai.net
·1d
🌱Minimal ML
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Constructing human-grade parsers
duriansoftware.com·5d
🔧Error Recovery
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LLMs - Custom Tokenizers
dev.to·2d·
Discuss: DEV
🔤Language Tokenizers
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