Framework for Machine Evaluation of Reasoning Completeness in Large Language Models For Classification Tasks
arxiv.org·23h
🧠Intelligence Compression
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We built a vector search engine that lets you choose precision at query time
🌳Trie Structures
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Advancing cybersecurity a comprehensive review of AI-driven detection techniques
🎯Threat Hunting
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In Search of Better Search
cacm.acm.org·12h
🤖AI Curation
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Playing around with org-db-v3 and consult: vector search of my blog post Org files, with previews
sachachua.com·2h
⏱️Interval Archives
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·7h
📊Learned Metrics
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Generalized Top-k Mallows Model for Ranked Choices
arxiv.org·23h
🧠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
🔗Constraint Handling
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B+Tree Index Structures in InnoDB
🗃️Database Storage
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Linear Audio Dreams: Injecting Sanity into Autoencoder Latent Spaces by Arvind Sundararajan
🎧Learned Audio
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GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
arxiv.org·23h
🧠Machine Learning
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Hyperloglog: Counting Without Counting
📊HyperLogLog
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Beyond the Magic: How LLMs Work
💻Local LLMs
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
🧮Vector Embeddings
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Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment
arxiv.org·23h
🧮Vector Embeddings
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Indexing Coffee with Notion
☕Coffee Science
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Neural Networks for Chess
⚡Homebrew CPUs
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Researchers find AI search pulls from the internet's fringes, not Google's top links
techspot.com·10h
🤖AI Curation
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