'No Free Lunch: Deconstruct Efficient Attention with MiniMax M2'
lmsys.org·3d
📱Edge AI
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How do you find the right balance between using AI tools and actually learning
🤖Automation
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【A Cynic's Guide】The Paradox of Selecting Diagramming Tools: Which Tool Transcends Technical Elegance and the "Approval Hurdle"?
🎨Design Systems
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Deflanderization for Game Dialogue: Balancing Character Authenticity with TaskExecution in LLM-based NPCs
📖Interactive Fiction
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The True Cost of AI Integrations: Comparing Performance and Pricing Models for C# Libraries
🚀Performance
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·3d
🚀MLOps
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Large language models require a new form of oversight: capability-based monitoring
arxiv.org·1d
🚀MLOps
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Part 1: Spec-Driven Development - Building Predictable AI-Assisted Software
🎭Program Synthesis
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Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment
arxiv.org·3h
👁️Computer Vision
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Reinforcement Learning: How Machines Learn to Make Smart Choices Like You Do
🎯Reinforcement Learning
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Databricks research reveals that building better AI judges isn't just a technical concern, it's a people problem
venturebeat.com·2d
🧠Machine Learning
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Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
arxiv.org·3d
🎯Reinforcement Learning
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Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
arxiv.org·1d
👁️Computer Vision
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How I’ve Been Using AI To Build Complex Software (And What Actually Worked)
🎭Program Synthesis
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·2d
🌳Tree-sitter
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