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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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Turning images into structured signals for modern search
visualquerypro.com·4h·
Discuss: Hacker News
🤖AI Curation
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·12h
📝ABNF Parsing
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Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
arxiv.org·2d
🧮Vector Embeddings
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·12h
📝Parsing Grammars
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Top 5 best WordPress SEO tools in 2026
dev.to·12h·
Discuss: DEV
📊Feed Optimization
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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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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·11h·
Discuss: Hacker News
🔄Burrows-Wheeler
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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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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📊Search Ranking
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Document search using Claude and an inverted index.
annanay.dev·5d·
Discuss: Hacker News
🗂️Vector Databases
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AI Has Made it Easy to Own Your Tools
jimmyhmiller.github.io·1d
🤖Archive Automation
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faradayio/xsv2: Fork of xsv because qsv is too much
github.com·12h·
Discuss: Hacker News
🗜️LZSS Variants
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MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
arxiv.org·2d
🧮Vector Embeddings
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How to Build AI-Based Recommendation Systems in Mobile Apps (2026 Guide)
vibe.forem.com·1d·
Discuss: DEV
🎛️Feed Filtering
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel
towardsdatascience.com·3d
🧮Vector Embeddings
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Model Merging via Multi-Teacher Knowledge Distillation
arxiv.org·2d
⧗Information Bottleneck
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Retrieval-Augmented Generation for Large Language Models: A Survey
paperium.net·6d·
Discuss: DEV
🌀Brotli Internals
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