The Parallel Universe Magazine

Intel’s quarterly magazine for software innovation helps you take your software development into the future with the latest tools, tips, and training to expand your expertise.

 

Issue 54, October 2023

Feature: Accelerate Llama 2 with Intel® AI Hardware and Software Optimizations

This issue showcases Intel's hardware and software for AI, as well as end-to-end enterprise analytics and heterogeneous parallelism.

Download Issue 54 to find:

  • A featured article on democratizing access to large language models
  • Articles featuring PyTorch*, from accelerating Llama 2 to predicting forest fires
  • Insights into transfer learning and gradient boosting from GPUs to CPUs
  • Boosting business with AI and building secure Kubeflow* pipelines
Contents
Accelerate Llama 2 with Intel AI Hardware and Software Optimizations

See how to democratize large language models using Intel hardware.

Predict Forest Fires Using PyTorch*

Learn how to use transfer learning to classify aerial photos according to the fire danger they convey.

Boost Business with AI

Intel collaborators at Red Hat* show you how to take advantage of open source AI technologies with Red Hat OpenShift* Data Science on Intel® architecture.

The Case for OpenMP* Target Offloading

Get insights into why ISO Fortran by itself is not enough for heterogeneous computing. This article expands on the simple edge detection example from The Parallel Universe, Issue 53.

Transfer Learning with TensorFlow* on Intel® Arc™ GPUs

Find out how to get fast and easy training and inference to build accurate image classifiers using Intel GPUs and the Windows* Subsystem for Linux* 2. 

Faster XGBoost, LightGBM, and CatBoost* Inference on the CPU

Accelerate your XGBoost, LightGBM, and CatBoost* inference workloads with Intel® oneAPI Data Analytics Library.

Build Secure Kubeflow* Pipelines on Microsoft Azure*

See how to use Intel® Software Guard Extensions on virtual machines to deploy secure, accelerated machine learning pipelines in the cloud.

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