RHEL AI learning path

Artificial Intelligence (AI) is a powerful new tool in the IT industry but, as with most digital tooling, one size does not fit all. A general AI bot trained on random Internet content from 5 years ago can impress a casual user, but your organization likely needs current, specialized knowledge about developing (and possibly confidential) domains. You need an AI that’s been fine-tuned for your organization, and there’s no better way to get that than with RHEL AI and InstructLab.

What is RHEL AI?

Red Hat Enterprise Linux AI (RHEL AI) is a foundation model platform designed to help you develop, test, and run the open source Granite AI models. RHEL AI is based on the open source InstructLab project, and combines the Granite large language models (LLM) from IBM Research with InstructLab’s model alignment tools. Based on the Large-scale Alignment for chatBots (LAB) methodology, RHEL AI can produce a bootable RHEL image so your AI deployment is as easy as booting up a container or virtual machine.

How to build and deploy your own AI

Thanks to the open source community, building an AI isn't as daunting as it may first seem. Multiple LLMs already exist, and thanks to InstructLab they’re easy to modify for your organization’s needs.

With RHEL AI plus rudimentary knowledge of Python and YAML, you can bring a customized AI to your organization. In fact, Red Hat Developers has released a new AI learning path that steps you through the process. The complementary course reveals everything you need to know about the data collection, pre-training, and fine-tuning steps, and enhancing an existing LLM. The learning path includes a step-by-step guide on how to initialize your Python environment, download and train a model, and how to make it available to your users.

There’s no registration process or fee. Just log in to your Red Hat Developers account and learn everything you need to know about open source AI delivery today!

Start the learning path.