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YouTube

Why Kubernetes is Becoming the Backbone of Modern AI Development

All Things Open via YouTube

Overview

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Explore how Kubernetes is revolutionizing AI development workflows in this 10-minute podcast episode from the We Love Open Source series by All Things Open. Learn from Shevii Lamba, developer evangelist at Couchbase, as she discusses practical approaches to scaling AI applications without losing control over infrastructure. Discover the fundamentals of fine-tuning large language models and understand what declarative machine learning means for modern development practices. Examine real-world use cases of Kubernetes in AI scaling, explore productivity-boosting tools for developers, and gain insights into the evolving relationship between AI and software development. The conversation covers essential topics including AI infrastructure optimization, open source tools for machine learning workflows, and actionable best practices for developers working with AI at any experience level. Access practical takeaways on making AI workflows more efficient while maintaining scalability and control in production environments.

Syllabus

0:00 - Intro
0:08 - Welcome
0:52 - What does fine-tuning Large Language Models mean to you and why is it important?
3:09 - What is a declarative ML?
4:40 - How are people using Kubernetes to achieve AI at scale?
6:28 - Do you think AI will replace developers? Why or why not?
7:37 - What's a new tool you’ve been using to boost your productivity?
9:15 - What’s one tip, best practice, or any advice you’d like to share with the ATO community?

Taught by

All Things Open

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