SOVANNARO·3h agoI Studied an AI Agent That Debugged Its Own Training. Here’s What It Taught Me.How a coding agent inside the training loop learned to ignore bad labels, and what that means for the future of model training.
Trade Mamba·6h agoPrediction Intervals with PyTorch: Quantile Regression Using Neural NetworksPart 3 of the Quantile Regression Series
Diego Prayudha·12h agoSafetensor: Is It Real Safe?Understanding Safetensors and Why So Many AI Models Use It
Moomaleman·19h agoMy Neural Network Scored 97.8%. It Still Missed One in Three Rare Heartbeats.What a small classifier built from scratch in PyTorch taught me about trusting a single number
Logit Solutions AI·21h agoBatch normalization, visually: the reset that keeps deep networks steadyDeep Learning, Visually #20
Franciscobooth·1d ago“no kernel image is available for execution on the device” What This PyTorch Error Means On RunPod…You launch a training job on RunPod. PyTorch detects your GPU, torch.cuda.is_available() returns True, and your environment checks appear…
Lumina·1d agoONNX Explained Simply: The “PDF” of Machine Learning ModelsYou train a model in PyTorch. Your deployment team runs TensorFlow Serving. Your mobile app needs something that runs on a phone, and your…
Varun Rajput·1d agoWhy May a Model Get Slower on a Bigger Machine?When two libraries both assume they own every CPU core, adding cores can make things slower. Here’s why, and how to spot it.
Abhigyat·1d agoCNNs Under the Hood: How Machines Learn to See (Part 1)Filters, stride, padding, pooling and receptive fields, worked out by hand, then trained on CIFAR-10 with 94,762 weights.A response icon1A response icon1
Youngbin Lee·2d agoTracing Y = ReLU(XW + b) from Python to Silicon: JAX (OpenXLA) vs. PyTorch 2How a single line of linear algebra transforms through Jaxpr, StableHLO, and XLA HLO fusions compared to TorchDynamo, AOTAutograd, and…
