Demystifying Kubernetes Observability with Generative AI and LLMs
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the intersection of Kubernetes observability, generative AI, and Large Language Models (LLMs) in this 38-minute Linux Foundation webinar. Delve into the potential of AI and LLMs to assist operators overwhelmed by Kubernetes-related alerts. Discover how LLMs excel at processing, learning, and recognizing patterns in large volumes of repetitive textual data, making them ideal for observability applications. Examine the real value of LLMs in observability versus inflated expectations. Learn about ChatGPT's suggestions for using LLMs in observability, understand their limitations, and explore how they can simplify complex observability solutions. Investigate the use of LLMs for error-prone mundane tasks and get a glimpse into the future of interactive data chat. Gain valuable insights into leveraging AI and LLMs to enhance Kubernetes observability and streamline operations.
Syllabus
LF Live Webinar: Demystifying Kubernetes Observability with Generative AI and LLMs
Taught by
Linux Foundation
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent