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Natural language processing for word sense disambiguation and information extraction
arxiv.org·23h·
Discuss: r/compsci
📥Feed Aggregation
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📌 Day 20: 21 Days of Building a Small Language Model: Activation Functions 📌
dev.to·2h·
Discuss: DEV
🌳Context free grammars
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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·3h
🤖Grammar Induction
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·16h
📝Parsing Grammars
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The Rust Programming Language - The Rust Programming Language
doc.rust-lang.org·3h
🦀Rust Macros
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Understanding Automata Theory Through Route Maps
dev.to·2h·
Discuss: DEV
🎯Automata theory
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·20h
✅Formal Methods
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·3d
📋Document Grammar
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SDSL : a new/old shader programming language
stride3d.net·3d·
Discuss: r/programming
📝Concrete Syntax
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Show HN: Calclock, Countdown/Lifeclock, Configurable
thysys.com·3d·
Discuss: Hacker News
📲syncthing
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·10h·
Discuss: DEV
🌊Stream Processing
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Self-Supervised Temporal Pattern Mining for heritage language revitalization programs with ethical auditability baked in
dev.to·4d·
Discuss: DEV
🤖Grammar Induction
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Prompts are becoming Code, but we still treat them like Strings
dev.to·23h·
Discuss: DEV
⚡Proof Automation
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LLM Inference Performance Benchmarking from Scratch
phillippe.siclait.com·4d·
Discuss: Hacker News
⚙️Compression Benchmarking
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Document Parsing with LLMs: From OCR to Structural Understanding.
alamedadev.com·3d
📋Document Grammar
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AI Infrastructure Basics: How MCP Works
newsletter.systemdesign.one
·1d·
Discuss: r/programming
🌊Stream Processing
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Pythonic Best Practices & Idioms
dev.to·1d·
Discuss: DEV
📝Concrete Syntax
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Issue 504
haskellweekly.news·2d
🔗Functional Compilers
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher
dev.to·1d·
Discuss: DEV
📄Text Segmentation
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