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Natural language processing for word sense disambiguation and information extraction
arxiv.org·19h·
Discuss: r/compsci
📥Feed Aggregation
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·6h·
Discuss: DEV
🌊Stream Processing
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Going back to go forwards and instruction design<!-- -->
lukes-blog.vercel.app·5h·
Discuss: Hacker News
🎮Switch Archaeology
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Measuring True Campaign Uplift in Noisy E-Commerce Data: A Practical Heuristic Approach
hackernoon.com·1d
📊Feed Optimization
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AI Has Made it Easy to Own Your Tools
jimmyhmiller.github.io·1d
🤖Archive Automation
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Kibana: Visualizing Your Data Story
dev.to·14h·
Discuss: DEV
🏺ZIP Archaeology
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Tangible Media: A Historical Collection of Information Storage Technology
tangiblemediacollection.com·19h·
Discuss: Hacker News
🏺Media Archaeology
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Used-by: Context aware tech stack recommendations from crawled real world usage
news.ycombinator.com·15h·
Discuss: Hacker News
🎯Content Recommendation
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We Lost the Thread on the Data Lake
blog.matterbeam.com·4h·
Discuss: Hacker News
💿ZFS Archaeology
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Top 5 best WordPress SEO tools in 2026
dev.to·12h·
Discuss: DEV
📊Feed Optimization
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·7h·
Discuss: DEV
📝Text Parsing
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Subgroup Discovery with the Cox Model
arxiv.org·2d
🧠Machine Learning
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📊Search Ranking
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aashirpersonal/semantic-coverage: Automated detection of knowledge gaps and blind spots in RAG vector stores.
github.com·3d·
Discuss: Hacker News
🌀Brotli Internals
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Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies: This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
github.com·4d
🧭Content Discovery
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MCAP Indexing — Monday Morning Haskell
mmhaskell.com·5d
🔄Burrows-Wheeler
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Building the World's First Cryptographic Audit Trail for MetaTrader: A Deep Technical Dive
dev.to·20h·
Discuss: DEV
🌳Archive Merkle Trees
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Document Parsing with LLMs: From OCR to Structural Understanding.
alamedadev.com·3d
📋Document Grammar
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Inferal Workspace Architecture: How We Work at Inferal
gist.github.com·2d·
Discuss: Hacker News
📦Git LFS
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