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Tuesday November 12, 2024 11:15am - 11:40am MST
How would you build an LLM system to modify a Kubernetes deployment based on its live telemetry data stream? A vanilla LLM is not enough to solve this problem as it is limited to outdated training data and is prone to hallucinations. In this talk, we will explore the concept of Agents—a powerful framework for solving complex multi-level tasks using a LLM as its reasoning engine, supported by a suite of tools. These tools can be advanced calculators, real time web scrapers, domain knowledge extractors, etc. They include executable functions, RAG pipelines, APIs or other services that allow the agents to complete their tasks effectively. We will walk-through a demo that leverages Kubernetes services and Podman containerization techniques that enable the agent workflow. Attendees will learn how a Kubernetes based agent framework enhances the performance capabilities of LLMs, offering a scalable and autonomous solution for next-generation intelligent systems.
Speakers
avatar for Shrey Anand

Shrey Anand

Mr., Red Hat
Shrey Anand is a data scientist with over five years of experience in the field of AI / ML. He collaborates with the emerging technologies at Red Hat where he develops cutting-edge data science solutions to solve open source and business problems. As a strong advocate of open source... Read More →
avatar for Hema Veeradhi

Hema Veeradhi

Principal Data Scientist, Red Hat
Hema Veeradhi is a Principal Data Scientist working in the Emerging Technologies team part of the office of the CTO at Red Hat. Her work primarily focuses on implementing innovative open AI and machine learning solutions to help solve business and engineering problems. Hema is a staunch... Read More →
Tuesday November 12, 2024 11:15am - 11:40am MST
Salt Palace | Level 1 | Grand Ballroom A
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