The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·3d
🧮Vector Databases
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[Deep Dive] How We Solved Poker: From Academic Bots to Superhuman AI (1998-2025)
💰TigerBeetle
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A Guide to My Organizational Workflow
⏰Time Management
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I’ve indexed all Strange Loop conference talks so you can use semantic search to find relevant videos
🔨Compiler Design
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
🗄️Database Internals
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Lessons from Implementing RAG in 2025
🔍RAG
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Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis
arxiv.org·1d
🧮Vector Databases
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Nonlinear Instabilities in Computer Network Dynamics
arxiv.org·1d
🕸️Mesh Networks
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DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning
arxiv.org·1d
🌳Tree-sitter
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Silenced Biases: The Dark Side LLMs Learned to Refuse
arxiv.org·4h
💬Prompt Engineering
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·4h
💬Prompt Engineering
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My dumb prompts that worked better
blog.nilenso.com·2d
💬Prompt Engineering
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