How to Use Multimodal AI Models With Docker Model Runner
docker.comยท1d
๐Ÿ”„ONNX
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MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter
towardsdatascience.comยท2d
๐ŸŽฏTensor Cores
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Show HN: Refusal-Aware Logical Framework for LLMs
github.comยท18hยท
Discuss: Hacker News
๐Ÿค–AI Coding Tools
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MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
arxiv.orgยท1d
๐Ÿ“ŠGradient Accumulation
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Geometric Data Valuation via Leverage Scores
arxiv.orgยท4h
๐Ÿ”„ONNX
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Radar Trends to Watch: November 2025
oreilly.comยท21h
๐Ÿค–AI Coding Tools
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.comยท3dยท
Discuss: Substack
๐ŸงฉAttention Kernels
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The Born Ultimatum: Conditions for Classical Surrogation of Quantum Generative Models with Correlators
arxiv.orgยท1d
๐ŸŽ๏ธTensorRT
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Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
arxiv.orgยท1d
๐ŸŽ๏ธTensorRT
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Training Convolutional Neural Networks with the Forward-Forward algorithm
arxiv.orgยท4h
๐ŸงฎcuDNN
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.comยท2d
โšกFlash Attention
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.comยท1d
๐ŸŽ“Model Distillation
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Understanding the Design of Optimizers with me
dev.toยท2dยท
Discuss: DEV
๐Ÿ“ŠGradient Accumulation
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
dev.toยท2dยท
Discuss: DEV
๐Ÿ”„ONNX
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.orgยท1d
๐Ÿ› Ml-eng
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.orgยท4h
๐Ÿ“ŠGradient Accumulation
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.toยท15hยท
Discuss: DEV
๐Ÿ”„ONNX
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Enhancing Federated Learning Privacy with QUBO
arxiv.orgยท4h
๐ŸŽ“Model Distillation
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LGCC: Enhancing Flow Matching Based Text-Guided Image Editing with Local Gaussian Coupling and Context Consistency
arxiv.orgยท4h
๐Ÿ”„ONNX
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