Enhancing LOD Integrity via Hyperdimensional Semantic Graph Normalization & Automated Anomaly Detection
dev.to·1h·
Discuss: DEV
📰Content Curation
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·6h
🥶Cold Start Problem
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Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
arxiv.org·3d
👥Crowdsourcing
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The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier
newsletter.languagemodels.co·7h
💬Natural Language Processing
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Toward a Compressed Core of Human Knowledge: The High-Dimensional Vector Network for AI
reddit.com·1d·
Discuss: r/AfterClass
🔢Kolmogorov Complexity
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What Artifacts Teach Us
systemsapproach.org·15h
📰Content Curation
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Live Conversational Threads: Not an AI Notetaker
lesswrong.com·18h
🫧Filter Bubbles
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A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
paperium.net·2d·
Discuss: DEV
🧭Content Discovery
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.to·1d·
Discuss: DEV
🔢Kolmogorov Complexity
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The Case Against PGVector
alex-jacobs.com·9h·
Discuss: Hacker News
🥶Cold Start Problem
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Graph RAG vs SQL RAG
towardsdatascience.com·2d
🔍Information Retrieval
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CloudEvents as a Data Product
codesimple.blog·15h
🚌GTFS
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GraphMD – LLMs Powered Literate Programming Environment for Markdown Documents
github.com·1d·
Discuss: Hacker News
🗂️Obsidian
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·11h
📊Bayesian Inference
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Understanding Blog Analytics Without Getting Lost in Stats That Don't Matter
buildwithblogs.bearblog.dev·11h
🔃Feed Algorithms
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From searching to solving: how Vector Databases transform product discovery
dev.to·14h·
Discuss: DEV
🌱Stemming
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Building a Production-Ready AI Agent
api.github.com·1h·
Discuss: DEV
🤖AI Ethics
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What does the ideal information environment look like?
defenderofthebasic.substack.com·5h·
Discuss: Substack
👥Crowdsourcing
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