Dennis Bappert

(Amazon Web Services (AWS))
hosted by Engineering with Generative AI Course, RPTU

""Scale Beyond Your Local Machine" - Without Sacrificing Experience"

Why attend the talk?Dennis is a senior solutions architect at Amazon Web Services having extensive experience in machine learning. If you want to fine-tune ML models on your own data and extend your ML tasks beyond your local computer, this session is for you! Whether you’re a student looking to train models too big for your laptop or a researcher wanting to accelerate your heavy ML workloads, this talk will demonstrate how you can achieve scalable machine learning. Dennis will show you how to fine-tune state-of-the-art ML models on your own datasets at any scale while still being able to offer customisations like trying out that fancy new attention mechanism you read about. We will walk through a real life example of fine-tuning a LLM, using our own dataset and our own training loop locally. We will see how we can scale to use multiple accelerators, even multiple machines, without any hassle. Join us for some practical tips and tricks and code with us to get the most out of this guest lecture.

Time:	Tuesday, 09.01.2024, 11:45
Place:	42-115

Termin als Datei downloaden und in den Kalender importieren.