In this talk, we will dive deep into operationalizing a generative AI project lifecycle when using Kubernetes for compute. We will demonstrate how machine learning and platform engineers can use JupyterHub, Argo Workflows and Kuberay to enable experimentation for data scientists in order to adapt a large language model from Hugging Face and provide a workflow for fine-tuning and deploying trained model into production.
Apoorva is a Sr. Specialist Solutions Architect, Containers, at AWS where he helps customers who are building modern data platforms on AWS container services. He is passionate about open source, distributed computing and AI/ML for societal good. He lives in Southern California with his wife, a 6 year old son and a 2 year old pup.
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