I really like Promptfoo for testing prompts, so I wrote an article on how to use it to test prompts with different models and various assert types. Let me know ...
🚀Streamlit
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Algorithmic Bias Mitigation in Federated News Recommendation via Causal Graph Regularization
📐Matrix Factorization
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Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime
arxiv.org·1d
🔗Markov Chains
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Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
arxiv.org·4h
🗺️Manifold Learning
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Deep learning-enhanced multi-fidelity framework for seismic fragility analysis of nuclear power plant containment structures: Submitted to: Reliability Engineer...
sciencedirect.com·18h
⛰️Gradient Descent
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
arxiv.org·1d
🗺️UMAP
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·4h
⛰️Gradient Descent
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Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
arxiv.org·1d
⛰️Gradient Descent
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Autobiasing Event Cameras for Flickering Mitigation
arxiv.org·4h
📐Computational Geometry
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
⛰️Gradient Descent
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Towards Selection of Large Multimodal Models as Engines for Burned-in Protected Health Information Detection in Medical Images
arxiv.org·4h
🗺️UMAP
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Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis
arxiv.org·4h
🗺️Manifold Learning
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Optimized Grid-Interactive Energy Storage (GIES) via Heterogeneous Ensemble Learning
⛰️Gradient Descent
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.org·4h
🗺️UMAP
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Optimizing Multi-UAV 3D Deployment for Energy-Efficient Sensing over Uneven Terrains
arxiv.org·4h
📐Computational Geometry
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Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy
arxiv.org·1d
📄FASTQ
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