How to evaluate and benchmark Large Language Models (LLMs)
together.ai·1d
🤖Local LLMs
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It Doesn’t Need to Be a Chatbot
towardsdatascience.com·1d
🤖Local LLMs
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·3h
💬Natural Language Processing
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Adaptive Bias Mitigation via Synthetic Data Augmentation with Generative Adversarial Networks in Robotic Environments
🤖AI Ethics
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Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
arxiv.org·1d
🤖AI Ethics
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
📊Bayesian Inference
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98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem
venturebeat.com·1d
🤖AI Ethics
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.org·3h
📊TF-IDF
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Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound
arxiv.org·3h
📊Bayesian Inference
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InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance
arxiv.org·3h
🤖Local LLMs
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Analyzing Sustainability Messaging in Large-Scale Corporate Social Media
arxiv.org·1d
💬Natural Language Processing
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Beyond Scarcity: How LLM-Driven Synthetic Data Generation is Reshaping AI
pub.towardsai.net·2h
🔢Kolmogorov Complexity
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SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
arxiv.org·3h
📊Bayesian Inference
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Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
arxiv.org·2d
🎛️Requisite Variety
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·1d
🔢Kolmogorov Complexity
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·3h
🔢Kolmogorov Complexity
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Quantifying Developer Impact & ROI via Dynamic Valuation Graph Analysis
🗺️Urban Planning
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