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Natural language processing for word sense disambiguation and information extraction
arxiv.org·17h·
Discuss: r/compsci
📥Feed Aggregation
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The art of text (rendering) (39c3)
cdn.media.ccc.de·11h
🖋Typography
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
dev.to·13h·
Discuss: DEV
🤖Advanced OCR
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
📊Quantization
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·11h
📝Parsing Grammars
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AI Has Made it Easy to Own Your Tools
jimmyhmiller.github.io·1d
🤖Archive Automation
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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Document Parsing with LLMs: From OCR to Structural Understanding.
alamedadev.com·3d
📋Document Grammar
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CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images
arxiv.org·2d
🧠Machine Learning
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Retrotechtacular: IBM’s The World of OCR
hackaday.com·1d
📄OCR
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.org·2d
🧠Learned Compression
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG)
vibe.forem.com·4d·
Discuss: DEV
✅Format Verification
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Note
hsu.cy·5d
📜Text Collation
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·2d
📋Document Grammar
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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A data-directed approach to lexing.
lambda-the-ultimate.org·3d
🧪Binary Fuzzing
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CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices
arxiv.org·2d
🧠Machine Learning
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