From Podman AI Lab to production: Implementing enterprise-ready generative AI
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Event details
Date: September 12, 2024
Time: 16:00 UTC
Abstract:
As enterprises seek to utilize the power of generative AI, they often struggle with the transition from experimentation to production-ready solutions. This talk will guide you through the steps needed to build an enterprise-grade generative AI application, starting with local experimentation using Podman AI Lab and finishing in a scalable, secure deployment on Red Hat OpenShift AI.
You'll learn how to rapidly prototype AI applications from your local environment with Podman AI Lab, add knowledge and capabilities to a large language model (LLM) using retrieval-augmented generation (RAG), and use open source technologies on OpenShift AI to deploy, serve, and integrate generative AI into your application. Join us to gain practical insights into overcoming common challenges in AI adoption, including data privacy, scalability, and integration with existing systems.
Speakers:
Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software technologist with a background in Kubernetes, DevOps, and container tools. He has experience speaking and organizing conferences including DevNexus, WeAreDevelopers, The Linux Foundation, KCD NYC, and more. Cedric loves all things open source and making developer's lives easier. He is based out of New York.
John Hurlocker is a Principal Architect in the Global Services Solutions and Technology Practice. During his 20 years at Red Hat he has enabled clients on a variety of products in the Red Hat portfolio with a focus on business automation and middleware. Over the past few years, he has been engaging with clients to establish their AI/ML platforms and MLOps practices.
