Addressing Personalized Bias for Unbiased Learning to Rank
arxiv.org·3h
📊Search Ranking
When Your Cache Has a Bigger Carbon Footprint Than Your Users
robbyonrails.com·6h·
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⚙️Batch Processing
Driving AI Visibility in Search with Smart LLM Optimization
dev.to·1d·
Discuss: DEV
🔃Feed Algorithms
Making Operations Research More Accessible: Insights from the Rise of ML
pubsonline.informs.org·1d·
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🧠Machine Learning
Turning Devin into an analyst
devin.ai·12h·
Discuss: Hacker News
🌊Stream Processing
7 Beginner Machine Learning Projects To Complete This Weekend
kdnuggets.com·19h
🧠Machine Learning
Compilation vs. vectorization, search engine edition
jpountz.github.io·17h·
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🚀Query Optimization
Are AI Subscription Models Sustainable?
tidbits.com·12h
🌀Brotli Internals
Websites still matter, but can't survive on their own
techradar.com·16h
🎯Content Recommendation
Make Your Website Conversational for People and Agents with NLWeb and AutoRAG
blog.cloudflare.com·17h
📡RSS Automation
Engineering stories behind the Medium Daily Digest Algorithm: Part 1
medium.engineering·2d
📰RSS Reading Practices
Ask HN: Best foundation model for CLM fine-tuning?
news.ycombinator.com·19h·
Discuss: Hacker News
🌀Brotli Internals
Working with Contexts
oreilly.com·21h
🔗Constraint Handling
Show HN: SavantLook–Affordable keyword research with MCP for competitor analysis
savantlook.com·3h·
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🔍BitFunnel
Sotasearch.ai – privacy-first research assistant (100% local)
sotasearch.ai·1d·
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🤖Archive Automation
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs
arxiv.org·3h
💻Local LLMs
Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
arxiv.org·3h
🧮Vector Embeddings
Core Concepts: Decoding Human Language
dev.to·6h·
Discuss: DEV
🤖Grammar Induction
Measuring LLM citations with server logs might not work as assumed
agentberlin.ai·13h·
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🔃Feed Algorithms
SUMMA: A Multimodal Large Language Model for Advertisement Summarization
arxiv.org·3h
🔍Information Retrieval