AI/ML

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Article

Implement AI-driven edge to core data pipelines

Bruno Meseguer

The Edge to Core Pipeline Pattern automates a continuous cycle for releasing and deploying new AI/ML models using Red Hat build of Apache Camel and more.

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Article

The road toward AI: Fundamentals

Maarten Vandeperre

Explore fundamental concepts of artificial intelligence (AI), including machine learning and deep learning, and learn how to integrate AI into your platforms and applications.

AI Lab
Article

AI Lab Recipes

Sally O'Malley +1

The AI Lab Recipes repository offers recipes for building and running containerized AI and LLM applications to help developers move quickly from prototype to production.

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Article

Model training in Red Hat OpenShift AI

Diego Alvarez Ponce +1

Learn how to configure Red Hat OpenShift AI to train a YOLO model using an already provided animal dataset.

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Article

What's new in Red Hat Enterprise Linux 9.4?

Nikhil Mungale

Red Hat Enterprise Linux (RHEL) 9.4 is now generally available (GA). Learn about the latest enhancements that improve the developer experience.

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Article

Red Hat OpenShift AI installation and setup

Diego Alvarez Ponce +1

Learn how to install the Red Hat OpenShift AI operator and its components in this tutorial, then configure the storage setup and GPU enablement.

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Article

How to install single node OpenShift on bare metal

Diego Alvarez Ponce +1

Learn how to deploy single node OpenShift on a physical bare metal node using the OpenShift Assisted Installer to simpify the OpenShift cluster setup process.

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Article

Create an OpenShift AI environment with Snorkel

Kaitlyn Abdo +1

Learn how to create a Red Hat OpenShift AI environment, then walk through data labeling and information extraction using the Snorkel open source Python library.

podman desktop
Article

Getting started with Podman AI Lab

Stevan Le Meur +1

Integrate generative AI in your applications with Podman AI Lab, an open source extension for working with large language models in a local environment.

Methods for understanding data
Article

Implement MLOps with Kubeflow Pipelines

Tarcisio Oliveira

MLOps with Kubeflow Pipelines can improve collaboration between data scientists and machine learning engineers, ensuring consistency and reliability at every stage of the development workflow.

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Article

Our top automation articles for developers in 2023

Colleen Lobner

Welcome back to Red Hat Developer’s Best of 2023 series, as we take a look back at the articles that captured developers’ attention over the past 12 months. Automation and artificial intelligence (AI) were the talk of the town this year, with significant breakthroughs in open source and generative AI. 2023 also saw many advancements in Red Hat Ansible Automation Platform ; new offerings like Ansible Lightspeed and Event-Driven Ansible increase the efficiency of teams writing automation code and let...