Time for a Reboot How We Measure Customer Success
cmswire.com·19h
💬Prompt Engineering
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The Learning Loop and LLMs
💬Prompt Engineering
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.org·7h
💬Prompt Engineering
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Quantifying Microbial Metabolite Flux via Hybrid LC-MS/MS & Bayesian Dynamic Network Analysis
🧠Machine Learning
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Reinforcement learning driven adaptive graph construction for fault diagnosis of chemical processes
sciencedirect.com·3d
💬Prompt Engineering
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.net·7h
💬Prompt Engineering
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Single-agent Reinforcement Learning Model for Regional Adaptive Traffic Signal Control
arxiv.org·1d
💬Prompt Engineering
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STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
arxiv.org·1d
💬Prompt Engineering
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EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
arxiv.org·2d
🧠Cognitive Science
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Active transfer learning for structural health monitoring
arxiv.org·2d
🧠Machine Learning
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Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
arxiv.org·7h
🗣️LLMs
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Semi-Supervised Preference Optimization with Limited Feedback
arxiv.org·1d
💬Prompt Engineering
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Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
arxiv.org·7h
💬Prompt Engineering
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A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
arxiv.org·1d
🧠Machine Learning
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Variational Data-Consistent Assimilation
arxiv.org·1d
🤖AI
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Expertise and confidence explain how social influence evolves along intellective tasks
arxiv.org·7h
🧠Cognitive Science
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Inferring trust in recommendation systems from brain, behavioural, and physiological data
arxiv.org·2d
🧠Machine Learning
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