ML-assisted Data Structures, Neural B-trees, Database Optimization, Adaptive Structures

We built a vector search engine that lets you choose precision at query time
clickhouse.com·3h·
Discuss: Hacker News
🌳Trie Structures
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In Search of Better Search
cacm.acm.org·20m
🤖AI Curation
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Complex networks-based anomaly detection for financial transactions in anti-money laundering
sciencedirect.com·1h
🔍Vector Forensics
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Generalized Top-k Mallows Model for Ranked Choices
arxiv.org·10h
🧠Learned Indexes
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Redefining Retrieval Evaluation in the Era of LLMs
arxiv.org·1d
🔍Information Retrieval
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Five LLM Tricks for Data Pipelines
presentofcoding.substack.com·1d·
Discuss: Substack
🔗Constraint Handling
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GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
arxiv.org·10h
🧠Machine Learning
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Hyperloglog: Counting Without Counting
karthihegde.dev·1h·
Discuss: Hacker News
📊HyperLogLog
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Topological Phase Classification via Hyperdimensional Recurrent Autoencoders
dev.to·20h·
Discuss: DEV
🕸️Algebraic Topology
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Beyond the Magic: How LLMs Work
tag1.com·4h·
Discuss: Hacker News
💻Local LLMs
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Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment
arxiv.org·10h
🧮Vector Embeddings
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Neural Networks for Chess
github.com·18h·
Discuss: Hacker News
Homebrew CPUs
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How to Scale LLM Apps Without Exploding Your Cloud Bill
hackernoon.com·1d
📄Text Chunking
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Improved Training Technique for Shortcut Models
arxiv.org·1d
📊Learned Metrics
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Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
arxiv.org·10h
🎛️Feed Filtering
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Additive Models Explained: A Computational Complexity Approach
arxiv.org·1d
🧮Kolmogorov Complexity
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Epistemic Deep Learning: Enabling Machine Learning Models to Know When They Do Not Know
arxiv.org·10h
🧠Machine Learning
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How AI Search Solves the Problem of Working with Unstructured Data
dev.to·1d·
Discuss: DEV
👤Search Personalization
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