MLOps best practices, AI infrastructure, model deployment, PyTorch, TensorFlow, and production machine learning workflows.
In dentistry, image quality determines whether a claim is paid or denied. Up to 20 percent insurance claims are initially denied, with missing or low-quality images among the leading causes….
Featured projects TL;DR PyTorch now has a Cross-Repository CI Relay (CRCR) that automatically triggers and tracks CI in downstream repositories whenever a PR is opened or a commit is pushed…
March 13, 2024 — Posted by the TensorFlow teamTensorFlow 2.16 has been released! Highlights of this release (and 2.15) include Clang as default compiler for building TensorFlow CPU wheels on…
A few days ago Modular published Translating to Mojo via AI Agents, where Brad walks through using the official modular/skills to translate a CUDA softmax kernel into portable Mojo and…
In a perfect world, ML Features are built only once. But for many teams, a feature that works in a notebook still turns into duplicated logic, fragile pipelines, one-off backfills,…
Your customer service agent correctly retrieved order details, checked your return policy, verified the return window and initiated the return process. Unfortunately, it sent the customer a tracking label for…
Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer states, communication buffers, and intermediate activations all compete for…
Model customization transforms general-purpose AI models into specialized enterprise assets. By fine-tuning foundation models (FMs) on domain-specific data, businesses teach AI their unique workflows, terminology, and deep domain specialization, along…
Featured projects Code available at: and TL;DR In this blog post, we present various novel kernel fusion techniques for common normalization ops like LayerNorm and RMSNorm, which provide significant speedup…
April 09, 2024 — Posted by Alan Kelly, Software EngineerWe are excited to announce that XNNPack’s Fully Connected and Convolution 2D operators now support dynamic range quantization. XNNPack is TensorFlow…
