Local LLMs: Private, Free, and Reproducible
Date:
26/10/2026
Organised by:
Instats
Presenter(s):
Dr. Peter Gruber
Level:
Entry (no or almost no prior knowledge)
Contact:
Marc Monit
marc@instats.org
Venue: Online
This seminar provides a practical hands-on guide to setting up and running open-source Large Language Models (LLMs) locally. It covers privacy-preserving AI workflows, cost elimination, and reproducible execution of local LLMs for scientific and academic research applications.
Cost:
$75 – $201 USD (depending on student, affiliate, or standard registration)
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, ICT and Software, Large Language Models, Local LLMs, Open Source AI, Data Privacy, Reproducible Research, Artificial Intelligence
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis
ICT and Software