Recourss Edit Feeds
blog.blakeerickson.com·2d
📰RSS Reading Practices
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Wikipedia sees decline in human pageviews, says AI is to blame
ghacks.net·3h
🤖AI Curation
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My first product launch – BuyerIQ
buyeriq.io·15h·
Discuss: Hacker News
🎯Content Recommendation
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Conceptual Frameworks for Data Science Projects
towardsdatascience.com·22h
🔗Constraint Handling
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karpathy/micrograd
github.com·12h
Incremental Computation
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Conversational Architecture with LLM Intelligence — SemanticCue v1
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
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RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge
arxiv.org·4d
Temporal Databases
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Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
arxiv.org·3d
📊Learned Metrics
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Decoding Intent: AI That Predicts Your Next Click by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🧭Content Discovery
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Krish Naik: 5-Getting Started With Agentic RAG With Detailed Implementation Using LangGraph
dev.to·1h·
Discuss: DEV
🤖Grammar Induction
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Tech With Tim: My top 5 python programming course recommendations
dev.to·1h·
Discuss: DEV
📊Feed Optimization
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Rethinking Cross-lingual Gaps from a Statistical Viewpoint
arxiv.org·10h
📊HyperLogLog
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Scalable Antibody Affinity Maturation Prediction via Multi-Scale Graph Neural Networks
dev.to·1d·
Discuss: DEV
🔍Vector Forensics
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Automated Valuation of Illiquid Assets via Graph-Enhanced Bayesian Networks
dev.to·1d·
Discuss: DEV
🌳B-tree Archaeology
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Learning Correlated Reward Models: Statistical Barriers and Opportunities
arxiv.org·10h
🧠Intelligence Compression
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Latent Feature Alignment: Discovering Biased and Interpretable Subpopulations in Face Recognition Models
arxiv.org·10h
🧠Machine Learning
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Show HN: I scraped Reddit to find the most controversial chef knife
news.ycombinator.com·1d·
Discuss: Hacker News
🎛️Feed Filtering
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