How Amazon Search increased ML training twofold using AWS Batch for Amazon SageMaker Training jobs
aws.amazon.com·1d
🤖AI Coding Tools
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
theregister.com·21h
⚡ONNX Runtime
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How neuroscientists are using AI
thetransmitter.org·2d
⚡ONNX Runtime
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Automating Web Search Data Collection for AI Models with SerpApi
kdnuggets.com·1d
🤖AI Coding Tools
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Enter IBM Granite 4.0 Nano: A New Era of Accessible Intelligence
pub.towardsai.net·59m
⚡ONNX Runtime
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NOMAD - Navigating Optimal Model Application to Datastreams
arxiv.org·2d
⚡ONNX Runtime
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Transformers Architecture: How Google’s ‘Attention Is All You Need’ Changed Deep Learning Forever
pub.towardsai.net·1d
🧩Attention Kernels
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Reliability estimation under autocorrelated cumulative shock damage: A time series modeling approach
sciencedirect.com·5h
⏱️CUDA Events
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A Thesis and Playbook for Edge AI
ondeviceguy.substack.com·3d·
Discuss: Substack
⚡ONNX Runtime
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Automatically Finding Rule-Based Neurons in OthelloGPT
arxiv.org·2d
⚡ONNX Runtime
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[D] Trajectory Distillation for Foundation Models
reddit.com·1d·
Discuss: r/MachineLearning
🎓Model Distillation
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.com·3d·
Discuss: Hacker News, r/LocalLLaMA
🤖AI Coding Tools
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Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
arxiv.org·2d
🏎️TensorRT
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EQ-Negotiator: Dynamic Emotional Personas Empower Small Language Models for Edge-Deployable Credit Negotiation
arxiv.org·16h
🛠Ml-eng
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CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
arxiv.org·2d
🧮cuDNN
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·2d
🏎️TensorRT
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Active transfer learning for structural health monitoring
arxiv.org·3d
🎓Model Distillation
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Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
dev.to·3d·
Discuss: DEV
🔗Kernel Fusion
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Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
arxiv.org·2d
⚡ONNX Runtime
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Enhancing riverine cyanobacterial bloom prediction: A hybrid deep learning approach combining wavelet decomposition, double-layer LSTM, ARIMA, and residual comp...
sciencedirect.com·2d
🎓Model Distillation
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