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On the Runway Cascade of Transformers for Language Modeling
arxiv.org·1h
🤖Transformers
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Making a Language
thunderseethe.dev·8h
🏭Code Generation
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Patterns All the Way Down: A Generalization for Graph-Like Things
medium.com·14h·
Discuss: Hacker News
🎯Hindley-Milner
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Constraints Not Loops: Building Features in Reverse
coey.dev·1d
🎯Hindley-Milner
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Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
arxiv.org·1h
🔗CoT Prompting
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Why not tail recursion?
futhark-lang.org·2d·
Discuss: Lobsters, Hacker News
🎯Hindley-Milner
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Rust async combinators for elegant and secure concurrency
kerkour.com·1d·
Discuss: r/rust
🔄Async Traits
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subtitlesdog/Subtitles.Translate.Agent: A disruptive AI subtitle engine using Multi-Agent collaboration to deliver near-human level translation with unified style and terminology. 基于多智能体协同的颠覆性 AI 字幕引擎，实现风格统一、术语一致的准人工级翻译交付。
github.com·3h·
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🎙️Whisper
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Multi-Modal Program Verification in Velvet
proofsandintuitions.net·1d·
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🔗Dependent Types
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Postmortem on TreeTracker Join: Simple, Optimal, Fast
zhu45.org·1d·
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🌳B-Trees
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Building a mini PyTorch in C++ from scratch as a high school student...
dev.to·17h·
Discuss: DEV
🔥PyTorch
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Making an LSP for great good
thunderseethe.dev·1d·
Discuss: Lobsters, Hacker News
🔍Query Compilers
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Implementing Dino from Scratch
logits.bearblog.dev·1d·
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🔍Reverse Engineering
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Inside Mixedbread: How We Built Multimodal Late-Interaction at Billion Scale
mixedbread.com·2d·
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🔍RAG
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understanding LSM trees via read, write, and space amplification
bitsxpages.com·7h
🧠Memory Models
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MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot
venturebeat.com·1d·
Discuss: Hacker News, r/technews
🏗️AI Infrastructure
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prompt abiogenesis ;-)
lnebres.bearblog.dev·6h
🔗CoT Prompting
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Kolmogorov Complexity
en.wikipedia.org·18h·
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🎯Hindley-Milner
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Variation on Iota
toolofthought.com·2d·
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λFunctional Programming
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Constructing human-grade parsers
duriansoftware.com·5d
🔨Compilers
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