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LLM & AI Agent Applications with LangChain and LangGraph — Part 1
pub.towardsai.net·1h
🌱Minimal ML
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·21h·
Discuss: r/compsci
🧠Semantic Parsing
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**Title:** Enhanced Symmetry Detection via Adaptive Graph Resonance and Temporal Correlation Analysis: A Novel Approach to Mirror Symmetry Validation in High-Dimensional Spaces
freederia.com·3h
🔗Graph Rewriting
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Resolving Names Once and for All
thunderseethe.dev·1d·
Discuss: r/programming, r/rust
🔗Lexical Scoping
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An Inequality Union Find Inspired by Atomic Asymmetric Completion
philipzucker.com·6d
🔗Unification
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Docling + Go + Bob: The Modern Document Stack
dev.to·1d·
Discuss: DEV
🔄Incremental Lexing
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🎲 The Automatic Grover Algorithm
lucamarx.com·1d
🎯Bit-Vector Algorithms
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·9h·
Discuss: DEV
📊LR Parsing
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I'm looking for high-level evaluations for a private and unique heuristic logic engine.
reddit.com·1d·
Discuss: r/LLM
📊Datalog Engines
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C Right-Left Rule (Rick Ord's CSE 30
cseweb.ucsd.edu·1d
🪄C Metaprogramming
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kalolad1/llm-sorter: A Python library that uses LLMs as comparators for semantic sorting. Sort any list by meaning, tone, complexity, urgency, or any criteria expressible in natural language.
github.com·13h·
Discuss: Hacker News
⚡Incremental Parsing
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TOON for LLMs: A Comparative Performance Analysis against JSON
gist.github.com·13h·
Discuss: DEV
📋JSON Parsing
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·14h
🔤Language Tokenizers
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·18h
🔧LLVM IR
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T3X.ORG nmhbasic/index
t3x.org·15h·
Discuss: Hacker News
💻Terminal Control
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Introducing Pkl, a programming language for configuration
pkl-lang.org·10h
⚙️Configuration Parsing
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Building an Intelligent Resume Transformation Agent Powered by LangGraph and gpt-4o-mini
pub.towardsai.net·1h
💬Interactive REPLs
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Unger Parsing
buttondown.com·5d·
Discuss: Hacker News
📝PEG Parsing
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Understanding Automata Theory Through Route Maps
dev.to·52m·
Discuss: DEV
🎯Finite Automata
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: 9781098119065: Computer Science Books @ Amazon.com
amazon.com·1d
🌳Persistent Data
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