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Natural language processing for word sense disambiguation and information extraction
arxiv.org·14h·
Discuss: r/compsci
📝NLP
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·2h·
Discuss: DEV
📝Parsing
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
📝NLP
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·7h
🦗Pest
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Santa Fe Institute: Constructing A Science Of Stories
ladailypost.com·52m
📖Interactive Fiction
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A Review of Language Machines by Leif Weatherby
deontologistics.substack.com·1d·
Discuss: Substack
📝NLP
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<p>**Abstract:** This paper introduces a novel framework, HyperScore-Augmented Automated Scientific Literature Review and Synthesis (HASALRS), for accelerating ...
freederia.com·1d
📝NLP
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From phishing to bias: Study maps the hidden threats behind large language models
newswise.com·2d
🛡️AI Security
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·3h·
Discuss: r/LocalLLaMA
📊HyperLogLog
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Data Analyst Learning Path 2026
analyticsvidhya.com·12h
📊Data Science
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TOON for LLMs: A Comparative Performance Analysis against JSON
gist.github.com·7h·
Discuss: DEV
🦙Ollama
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·2d
📝Parsing
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📚⚖️ From Words to Law: Different Career Paths for Linguists
facebook.com·2d
📝Parsing
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Rodgers, Steelers could clinch AFC North before Browns game
bradfordera.com·22h
✨Gleam
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Martin Fredriksson
liu.se·13m
🌿Digital Gardens
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Chad Dorsey - Concord, Massachusetts, United States | Professional Profile
linkedin.com·13m
💬Prompt Engineering
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Document Parsing with LLMs: From OCR to Structural Understanding.
alamedadev.com·3d
📊Earley Parser
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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·18h
🏗️Systems Design
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·1h·
Discuss: DEV
⚡LMAX Disruptor
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How Artificial Intelligence Interacts with Human Language by Integrating Large Language Models
ibtimes.com·5d
💬Prompt Engineering
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