AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·2h
🗣️LLMs
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Diffusion LLMs are Natural Adversaries for any LLM
arxiv.org·2h
🗣️LLMs
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Document-Driven Development in Next.js: How I Stopped Losing My Mind Managing Requirements
🐚Shell Scripting
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Context engineering
🗣️LLMs
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Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
arxiv.org·2h
🗣️LLMs
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24 Practical Ways to Use AI for Shopping, Travel & Home Management
geeky-gadgets.com·22h
🤖AI
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Context7 is the most underrated MCP server you're not using for your local LLM
xda-developers.com·5h
🗣️LLMs
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
🗣️LLMs
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AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes
venturebeat.com·16h
🧠Machine Learning
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CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
arxiv.org·2h
📊Data Science
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Quietly intelligent app features with OpenAI Agent Builder
ashryan.io·10m
🤖AI
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