torch v0.10.0 is now on CRAN. This version upgraded the underlying LibTorch to 1.13.1, and added support for Automatic Mixed Precision. As an experimental feature, we now also support pre-built binaries, so you can install torch without having to deal with the CUDA installation.
Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? What Are Containers? How Do Containers Differ from Virtual Machines? Most Popular Container Images TensorFlow PyTorch Python NGINX Install Docker Install Docker Manually Install Docker Desktop…
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New generations of CPUs offer significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high speed of development, and low operating cost, these general-purpose processors offer an alternative ML inference solution to other existing hardware solutions.
What is Attention, and why is it used in state-of-the-art models? This article discusses the types of Attention and walks you through their implementations.
This article discusses GPT-2 and BERT models, as well using knowledge distillation to create highly accurate models with fewer parameters than their teachers
