Summary: State-of-the-art language models in NLP perform best when fine-tuned even on small datasets, but due to their increasing size, fine-tuning and downstream usage have become extremely compute-intensive. Being able to efficiently and effectively fine-tune the largest pre-trained models is thus key in order to reap the benefits of the latest advances in NLP. In …

Modular and Parameter-Efficient Fine-Tuning for NLP Models Read More »

Coming off the success of our first meetup, we welcome all NLP researchers, engineers and enthusiasts to our second event. We have two really exciting guests presenting: Julian Eisenschlos from Google and Alex Warstadt from ETH Zurich. Please RSVP, spots are limited! Follow us on Twitter for updates.

Niket Tandon from AI2 will be visiting Zurich in June and will be giving a talk titled Commonsense injection in large language models. Please RSVP below! Abstract: Large LMs, while powerful, are not immune to mistakes which are obvious to humans, but they can be prohibitively costly to retrain. Our goal is to effectively correct …

ZürichNLP Visitors: Niket Tandon Read More »

Join us for our third meetup this time with an exciting fireside chat between Tim Scarfe and Zeerak Talat on democratization of AI, policy and ethics. The panel is being rescheduled to sometime this fall. Please RSVP, spots are limited!

We're back with an exciting fourth meetup! We are thrilled to be hosting two talks: "Reinforced Active Learning for Text classification" by Katya Mirylenka from IBM Research. "AI Summarizers for Lawyers and the People" by Prof. Dr. Elliott Ash from ETH Zurich RSVP soon as spots are limited, we hope to see you there!

ETH Zurich Distinguished Computer Science Colloquium Christos Papadimitriou, Columbia University Host: Emo Welzl ABSTRACT: There is little doubt that cognitive phenomena are the result of neural activity, and yet there has been slow progress toward articulating a computational theory of how exactly this happens. I will discuss a simplified mathematical model of the brain, which …

How Does the Brain Create Language? Read More »

Meetup #5 is fast approaching and will be our best one yet! It's our pleasure to announce the following speakers: Jonas Pfeiffer, Research Scientist at Deepmind presenting "Modular Deep Learning" Eiso Kant, CTO and Co-founder of Poolside presenting "Roadmap for AI progress by learning from code" RSVP soon as spots are limited, last time we …

ZurichNLP Meetup #5 Read More »

Meetup #6 is coming soon and will be our best one yet! It's our pleasure to announce the following speakers: Lucas Beyer (Google DeepMind/Brain) Ana Kotarcic (University of Zurich) RSVP soon as spots are limited, the last few times we maxed out capacity. Hope to see you there!

Happy new year! We are kicking off 2024 with Meetup #7 on January 16th! It's our pleasure to announce the following speakers: Martina Forster and Luca Campanella from Typewise Tiago Pimentel from ETH Zurich RSVP soon as spots are limited, the last few times we maxed out capacity. Talk details: Speaker #1: Martina Forster and …

ZurichNLP Meetup #7 Read More »

We are continuing strong in 2024 with Meetup #8 on February 27th! We're happy to announce the following speakers: Brian DuSell, Postdoc @ ETH Zurich Leandro von Werra, Chief Loss Officer @ Hugging Face RSVP soon as spots are limited, the last few times we maxed out capacity. Talk details: Speaker #1: Brian DuSell Title: …

ZurichNLP Meetup #8 Read More »

With all of the success with ZurichNLP we are now kicking off our first ZurichCV meetup this upcoming March 14th (Pi day)! Our first meetup will feature the following speakers: Felix Bauer, Senior R&D Engineer at SynSense Songyou Peng,  Senior Researcher/Postdoc at ETH Zurich Please RSVP as soon as possible because spots fill up quick, …

ZurichCV Meetup #1 Read More »

Our computer vision series is continuing strong: ZurichCV #2 on April 16th at 17:00 will feature an in depth talk by Lucas Beyer from Google Brain/DeepMind about structured computer vision in the age of LLMs, specifically: "Structured output tasks in computer vision are tasks which require more "complicated" output than just a probability, and need …

ZurichCV Meetup #2 Read More »