Presented by

  • JJ Asghar

    JJ Asghar
    @jjasghar
    https://jjasghar.me

    JJ works as a Developer Advocate representing IBM worldwide. He engages in the IBM’s watsonx service, the Open Source AI ecosystem, and Kubernetes ecosystem with a focus on Red Hat’s OpenShift. He attempts to teach enterprises and users succesful skills to onboard to the AI and Cloud Native ecosystem though he learned his trade in the DevOps ecosystem. If he isn’t building high level automation to streamline his work, he’s building the groundwork to prepare for that need. He’s been an avid homelaber and self-hoster of open source software for years and gives back to that community as much as possible. He lives and grew up in Austin, Texas. A father and husband, trying to learn to balance his natural nerdiness with family life. He enjoys a good strong dark ale, hoppy IPA, some team building Artemis, and epic Gloomhaven campaigning. He has dove headfirst into Fedora since IBM buying Redhat, but still secretly wants FreeBSD everywhere. He’s always trying to become a better web technology developer, though normally just uses bash and python to get the job done.

Abstract

What if I told you the way we're distributing AI models is fundamentally broken? The majority of people out there leverage the ChatGPTs of the world and just ask it for some simple tasks leveraging Prompt Engineering. That's all well and good, but when you want to bring AI into your business processes, do you really want to give your secret sauce to another company to train their own models? Probably not. Built by IBM and Red Hat from the get-go, InstructLab is an open source project that lets you stay in control of your AI by creating some easy-to-use tuning for a base model. Today we’ll talk about what it can do for you as an engineer and how much it can do to improve your business processes. If you’re thinking that you need a trusted AI system that’s truly open source and lets you track back what is put into the tuned data set, we’ve got you covered. This talk will prime you to be able to check it out and learn to use it in 45 minutes or less. Keeping you in complete control of your AI story code, and making sure your company knowledge is in a place that you find secure.