Red Hat AI

Workbenches for LLM Compressor GuideLL

Interactive demo•2 mins•May 10, 2026

  Jenny Yi, Jehlum Vitasta Pandit

This demo showcases how to use OpenShift AI workbenches with tools like GuideLLM and LLM Compressor to evaluate and optimize large language models. It walks through benchmarking model accuracy and performance, and demonstrates how to apply compression techniques to improve efficiency - all within a JupyterLab environment.

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About the authors of this page

Jenny Yi headshot

Jenny Yi

Product Manager

Jenny is a Technical Product Manager at Red Hat AI, where she focuses on the end-to-end platform experience for Red Hat AI Enterprise. She joined Red Hat through the Neural Magic acquisition, where she created user interfaces for LLM benchmarking and an AI control plane. Before moving into AI, she c...
Jehlum Vitasta Pandit headshot

Jehlum Vitasta Pandit

Product Manager, Red Hat AI

Jehlum is a Product Manager in the Red Hat AI team. She's focused on building platforms for generative AI applications. I am especially interested in data processing, observability, safety, evaluation - all key components to build production-grade generative AI applications on platforms that scale....