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πŸ”„ Content Deduplication

Hash-based Storage, Similarity Detection, Storage Optimization, Archive Management

Show HN: Towards agentic Graph RAG: Enhancing graph retrieval with vector search
blog.kuzudb.comΒ·2hΒ·
Discuss: Hacker News
πŸ“ŠGraph Databases
What LLMs Know About Their Users
schneier.comΒ·13hΒ·
Discuss: Hacker News
πŸ’»Local LLMs
Data Compression with Relative Entropy Coding
arxiv.orgΒ·2d
πŸ“Compression Mathematics
From 500+ Lines to 150: How I Refactored My Amazon Scraper Into a Clean Scrapy Project
dev.toΒ·8hΒ·
Discuss: DEV
πŸ“‘Feed Archaeology
The Probability of a Hash Collision
kevingal.comΒ·3dΒ·
Discuss: Hacker News, r/programming
πŸ”Hash Functions
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.orgΒ·1d
πŸ“ŠFeed Optimization
Can You Patch a Protobuf File? Not Reallyβ€”and Here’s Why
hackernoon.comΒ·17h
πŸ“‹Protocol Buffers
Kafka Fundamentals: kafka retention.ms
dev.toΒ·13hΒ·
Discuss: DEV
🌊Streaming Systems
Scalable Machine Learning Algorithms using Path Signatures
arxiv.orgΒ·1d
🧠Machine Learning
Analysis of Scheduling schemes based on Carrier Aggregation in LTE-Advanced and their improvement
arxiv.orgΒ·20h
πŸ“‘Network Calculus
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.toΒ·15hΒ·
Discuss: DEV
⚑Modern Compression
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)
dev.toΒ·1dΒ·
Discuss: DEV
🏺ZIP Archaeology
Stable and consistent density-based clustering via multiparameter persistence
arxiv.orgΒ·1d
πŸ•³οΈPersistent Homology
Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
arxiv.orgΒ·1d
🧠Machine Learning
The Bitter Lesson is coming for Tokenization
lucalp.devΒ·1dΒ·
Discuss: Lobsters, Hacker News, r/programming
πŸ”—Monadic Parsing
MDeRainNet: An Efficient Macro-pixel Image Rain Removal Network
arxiv.orgΒ·1d
πŸ‘οΈPerceptual Hashing
Exploring High Efficiency Web Analysis Results(1750876031390300οΌ‰
dev.toΒ·5hΒ·
Discuss: DEV
🌊Stream Processing
Fast Capture of Cell-Level Provenance in Numpy
arxiv.orgΒ·1d
πŸ”—Data Provenance
Are Judeo-Christian Values the Foundation of American Democracy?
hackernoon.comΒ·3d
πŸ“œText Collation
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI
arxiv.orgΒ·20h
🧠Machine Learning
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