24 May 2024
Chatbot-Hackathon
We are excited to announce a chatbot Hackathon centered on developing a framework to create and deploy Retrieval-Augmented Generation (RAG) chatbots for website data. For this event, the participation is limited to the members of Informatikdienste of ETH Zürich.
The event will take place on 24 May 2024, 09:00-17:00, in OCT J 59.1 & 59.2.
For more information about the Hackathon and the planned work packages, please see https://ethz.sharepoint.com/sites/dev/ML/SitePages/Chatbot-Hack.aspx.
To register for the Hackathon, please email Dr. Tarun Chadha by 30 April 2024. Also, please indicate which work packages (could be more than one) you would like to contribute to.
We are looking forward to seeing many of you at the event.
10 Jun 2024
SIS presentations at the ETH Research Data Management Summer School 2024
SIS continues excellent collaboration with ETH Library and presents at the upcoming ETH Research Data Management Summer School 2023 that will take place 10 to 14 June 2024.
SIS experts will share insights on Research Data Management with openBIS, version control with Git and secure handling on sensitive data with Leonhard Med.
19 Mar 2024
Informatiktage 2024
Scientific IT Services will present at the Informatiktage 2024 : Security in data platforms for biomedical research
Date: 19.03.2024
Time: 18.15 - 19.15
Registration necessary.
08 Mar 2024
Introduction to Machine Learning using Python
We are pleased to announce a four-day course to give a hands-on introduction to the field of machine learning using Python.
The course will take place on on Thu 14th, Fri 15th, Thu 22nd and Fri 23rd March 2024.
The course is fully booked and we plan to offer the workshop again early 2025.
For more information about the course and how to apply
read here.
04 Mar 2024
Introduction to programming and natural language processing (NLP) for Humanities
We are pleased to announce a six-day course providing a hands-on introduction to Python programming and analyzing textual data.
The course aims to introduce the Python programming language to people with no prior programming knowledge who plan to do research with digitized texts. Basic concepts and the packages used for natural language processing and machine learning will be introduced. In-depth, hands-on sessions will provide practical guidance on how to use programming in different contexts, from small automation tasks to analyzing text data using machine learning methods. The main focus of the course will be on practical aspects.
We will hold the course on-site at ETH Zürich (OCT in Oerlikon and ETZ in the center):
The course will be taught by Dr. Agnieszka Ilnicka and Dr. Tarun Chadha from SIS. For more information and registration, please refer to the course webpage.
For more past events checkout our News section