ML Developer Workshop 1: Train and fine-tune Transformer models faster with Hugging Face Optimum and Graphcore IPUs in the cloud

Using Hugging Face Optimum, we will show how easy it is to run and accelerate an end-to-end state-of-the-art Transformer model workflow on IPUs. We’ll provide a demo to fine-tune a BERT-Large Transformer model in IPUs using Hugging Face Optimum, and then serve the model using the inference API. Join us as we look under the hood of our Intelligence Processing Unit to see how our unique architecture, combined with Optimum’s simple plug-and-play experience, enables faster performance on today’s most popular ML models. By the end of the talk, we would like you to have a better understanding of the wide range of off-the-shelf NLP & Computer Vision Transformer models through our integration with the Hugging Face ecosystem. Plus, how to access this walkthrough by using our free IPU runtimes in the cloud.

Developer workshops are restricted to machine learning practitioners from research institutions and enterprises who are interested in learning how to port code onto novel AI platforms and want to get hands-on access to hardware and SDKs.  

Workshops are application only and subject to eligibility and availability. The workshops are free, and lunch, shared networking sessions, and access to the Meet and Greet function and keynote is included in the developer pass. If you're a machine learning engineer / AI application developer, please apply using the form in the registration section of the website or by emailing [email protected]. There are approximately 30 spaces available.