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LLM vs RAG vs Agent Workbook
byhand.ai·6h
🤖AI
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Weighted Quantile Weirdness and Bugs
practicalsignificance.com·6h·
Discuss: Hacker News
📊Data Science
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TIL about Model Collapse. When an AI learns from other AI generated content, errors can accumulate, like making a photocopy of a photocopy over and over again.
ibm.com·3h·
Discuss: r/todayilearned
🤖Machine Learning
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Your First AI Application is Easier Than You Think
cloud.google.com·19h
🤖AI
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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 ...
pvkl.nl·1d·
Discuss: r/LLM
🤖AI
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Deep Learning Approach for Clinical Risk Identification Using Transformer Modeling of Heterogeneous EHR Data
arxiv.org·1h
🤖Machine Learning
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Disentangled Concepts Speak Louder Than Words:Explainable Video Action Recognition
arxiv.org·1d
🤖Machine Learning
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Expertise need not monopolize: Action-Specialized Mixture of Experts forVision-Language-Action Learning
paperium.net·3h·
Discuss: DEV
👁️Computer Vision
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AI Art Turbocharged: Differentiable Diffusion for Hyper-Realistic Results
dev.to·14h·
Discuss: DEV
🖼Image Processing
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Leveling the Playing Field: Fairer AI with Kernelized Null-Space Projections
dev.to·6h·
Discuss: DEV
🤖Machine Learning
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Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
arxiv.org·1d
👁️Computer Vision
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REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
arxiv.org·1h
🤖Machine Learning
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An ARENA 6.0 Capstone: Model Organism of Encoded Reasoning
lesswrong.com·1d
🔬Julia Language
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·1d
🤖AI
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KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea
arxiv.org·1h
📊Data Science
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Graph Neural Networks for User Satisfaction Classification in Human-Computer Interaction
arxiv.org·1h
🤖Machine Learning
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Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
arxiv.org·1d
📈Optimization
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Marketers: Stop Anthropomorphizing AI, Learn What It Actually Does Under the Hood
cmswire.com·16h
🤖AI
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MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems
paperium.net·2h·
Discuss: DEV
🤖Machine Learning
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Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment
arxiv.org·1h
🖼Image Processing
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