Leveraging the open source ML advantage

Please note: This session will take place online over on Zoom, please ensure you are registered and set up on this platform beforehand. Link: https://events.zoom.us/ev/ApD-3IhbqAZ_xxE2kwusyX52wOyMRSV_4M5r-U5_-k7avZCa4btA~AigcuLQYG8DA5yYtt64NsCu8bIdrPMHDqyusixo7k0pIiuIwibTchKlzKw

We’re hosting another virtual session presented by our friends at Determined.AI. Join us as we go deeper into the world of open source, its role in the explosion of AI & ML in recent years and the benefits organisations and enterprises can reap from leveraging this ecosystem.
Matt Armstrong-Barnes, Chief Technologist for AI @ HPE, will be joined by Hayden Barnes (Senior Open Source Community Manager, AI at Scale @ HPE) for discussions around:

• Scaling ML model training using state-of-the-art hyperparameter tuning and distributed training methods - using all open source software
• Getting started with open-source LLMs in our playground feature: GenAI studio
• Smoothly transitioning from foundation model selection and prompt engineering to fine-tuning and deployment

1 May 2024
16:00 - Introduction - Matt Armstrong-Barnes
16:05 - Open source ML advantage talk & demo - Hayden Barnes
16:30 - Discussion & Q+A

This will be hosted live virtually and available on-demand.