In the dynamic landscape of machine learning operations (MLOps), streamlined workflows are essential for successful model deployment. This technical workshop facilitated by Arm's Jason Andrews, distinguished engineer, and Pareena Verma, principal solutions architect, focuses on leveraging Arm-based runners within GitHub Actions to create robust MLOps pipelines. This session is tailored for machine learning use cases and will explore how to deploy pre-trained and quantized Large Language Models (LLMs)—without the need for additional training.
Note: This stage has limited capacity and will seat attendees at a first come first serve basis. Adding this session to your schedule does not reserve a seat. Please attend early.
On demand catalog
Select a session below to watch.
No training required: Easy ML model deployment using Arm-based GitHub Runners
, Distinguished Engineer, Arm
, Principal Solutions Architect, Arm
Session Type: Sandbox Session
Key Takeaway 1: Understand the theory and practice behind deploying LLMs on Arm-based infrastructure.
Key Takeaway 2: Learn how to create GitHub Actions workflows for testing and deploying LLMs with Arm-based runners.
Key Takeaway 3: Gain practical insights and troubleshooting tips through hands-on examples to help you use this technology effectively.
Topic: AI, Git and related code management techniques, Machine Learning
Target Audience: Enterprise - Developers, Educators
Industry: Manufacturing, Applicable to all
Level: Level 200: Intermediate
GitHub Product: Actions
Delivery Format: In-person