We are a group of language technology enthusiasts who would like to offer a platform for learning and exchanging about Natural Language Processing, Machine Learning, AI, and related topics.
We organise a meetup every 6-8 weeks for interested people from both industry and academia in the Zurich area. Our meetups include technical talks, knowledge sharing sessions (such as tutorials or workshops) and networking events.
We are happy to grow and foster an active NLP community. Looking forward to welcoming you.
If you would like to give a talk or host one of our events, please reach out to the organizers!
In the next webMeetup David Adametz (UBS) will talk about the technical and cultural challenges of creating and scaling productive NLP solutions in the real world. We are looking forward to welcoming you!
👉 Please register to receive your webMeetup link: https://us02web.zoom.us/meeting/register/tZIof-2gqDkvH9J_eZZ0VzP2RwT_AX5Q7KTX
18:55 Join the webMeetup
19:00 David Adametz (UBS): Recipes for Natural Language Processing at Scale
19:50 Virtual Hugs and Kisses ⊂(◉‿◉)つ
Propelled by the advent of powerful transformer models, we currently live in a golden age of Natural Language Processing. Due to a stream of new models and research publications, the state-of-the-art is continuously beaten. While theoretical benchmarks and results on artificial datasets paint a promising picture, implementing models into production with real-life content often reveals severe challenges that hinder wide-spread adoption. To this end, we present our recipes to bring Natural Language Processing models not only into production, but also to scale them effectively. Our talk covers both technical and conceptual aspects, suitable for machine learning practitioners and data science teams wanting to embark on a similar journey in the banking industry.
About the speaker:
David Adametz is a data scientist by heart and strives to make artificial intelligence accessible, visible and interactive. He joined UBS to deliver the best client experience by creating tangible, data-driven insights. David holds a Ph.D. in Machine Learning from the University of Basel.