Supercharging AI Model Building: Data and Task Parallelism with Ray and Databricks
databricks.com·9h
📊Data Science
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Post-training methods for language models
developers.redhat.com·2d
🤖Machine Learning
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The New Optimization Stack: Where SEO Meets AI Retrieval via @sejournal, @DuaneForrester
searchenginejournal.com·15h
📈Optimization
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·2d
🤖AI
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The Rise of the Specialist: Why Small Language Models are the Future of Enterprise AI
dev.to·13h·
Discuss: DEV
🤖AI
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Dynamic Gradient Echo Pulse Sequence Optimization via Reinforcement Learning for Reduced Artifact in 3T MRI
dev.to·19h·
Discuss: DEV
📈Optimization
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·42m
🤖Machine Learning
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<p>**Originality:** This research proposes a novel approach to PDAC biomarker discovery that integrates multi-modal data (genomics, imaging, liquid biopsy) thro...
freederia.com·7h
🤖Machine Learning
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SurgAnt-ViVQA: Learning to Anticipate Surgical Events through GRU-Driven Temporal Cross-Attention
arxiv.org·1d
👁️Computer Vision
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Decoupled Entropy Minimization
arxiv.org·1d
🖼Image Processing
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RefusalBench: Generative Evaluation of Selective Refusal in Grounded LanguageModels
paperium.net·32m·
Discuss: DEV
🤖Machine Learning
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Going Beyond Expert Performance via Deep Implicit Imitation Reinforcement Learning
arxiv.org·1d
🤖AI
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·4d·
Discuss: DEV
🤖Machine Learning
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VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a VideoGenerator
paperium.net·7h·
Discuss: DEV
👁️Computer Vision
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AI Papers to Read in 2025
towardsdatascience.com·1d
🤖AI
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From AI to NLP: The Four Phases of Language Understanding
dev.to·1d·
Discuss: DEV
🤖AI
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Spiking Neural Networks: The Next Leap in AI Power Efficiency by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
👁️Computer Vision
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Observer-based neural networks for flow estimation and control
arxiv.org·1d
👁️Computer Vision
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Algorithmic Fairness Auditing via Dynamic Contrastive Learning in Personalized Recommendation Systems
dev.to·3h·
Discuss: DEV
🤖Machine Learning
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Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
arxiv.org·1d
🤖Machine Learning
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