Foundations of LLM Mastery: Fine-tuning on one GPU

Fine-tuning large language models (LLMs) often requires substantial resources, yet recent advancements allow for effective training on a single GPU.

This practical, 3.5-hour course introduces industry professionals — from start-ups to SMEs and large enterprises — to efficient techniques for fine-tuning LLMs without sacrificing model performance.

In this course, participants will learn about:

• Quantization: Techniques to reduce model memory requirements, enabling the deployment of LLMs on resource-constrained hardware.
• Parameter-Efficient Fine-Tuning (PEFT) with LoRA: Fine-tune large models by adjusting a limited set of parameters, reducing computational load while achieving high-quality results.

Through hands-on exercises and guided demos, participants will gain practical experience in fine-tuning LLMs using these methods, setting the stage for immediate application in real-world projects, from question answering chat bots in an online shop to digital layers interpreting the national law in the context of a specific case. The possibilities are endless.

By the end of this course, participants will have developed a foundational understanding of techniques reducing the memory footprint of a large language model during fine-tuning and inference.

Agenda & Content

For a detailed timetable and additional information, please see Agenda & Content in the left menu.

Entry level

Intermediate

Prerequisites

Basic programming skills in Python.       
Having worked with Pytorch would be beneficial.

Target audience

This course is open to participants from industry and public administration. If sufficient seats are available, academic participants are welcome as well (see priority rules further down).

Course format

This course will be delivered as a LIVE ONLINE COURSE (using Zoom).

Hands-on labs

All participants will get a temporary user account on VSC to do the hands-on labs.

You will use your own laptop or workstation to connect conveniently from your browser to the VSC Jupyterhub and do the hands-on exercises.

Accepted participants will be contacted a few days before the course and asked to do a short PRE-ASSIGNMENT that has to be completed before the course starts.

Lecturers

Simeon Harrison (VSC Research Center, TU Wien and EuroCC Austria)

Martin Pfister (University of Vienna and EuroCC Austria)

Language

English

Date, time, and location

22.01.2025, 09:00 – 12:30 CET, LIVE ONLINE COURSE (using Zoom)

Prices and eligibility

This course is partly funded by the EuroCC 2 project. Therefore, the course is open and free of charge for participants from academia, industry, and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.

Registration

The registration form and deadlines are available from the left menu. The registration form might close even before the deadline if the number of registrations has reached its maximum (and will open again if there are cancelations).

Please register with your official email address to prove your affiliation.

You will get an automatic confirmation via email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.

Following your successful registration, you will receive further information approximately 1 week before the course.

Priority rules apply until Monday, January 6, 2025. Final acceptance (or rejection) will be approved on January 7, 2025. As long as seats are available there will be an extended registration period without priority rules.

Priority for acceptance: first - participants with an industry or public administration affiliation from EU or JU countries, second - students and members of European universities and public research institutes.

Waitinglist

After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).

To be able to do the hands-on labs on the VSC please provide your full international mobile-phone number for the two-factor authentication required to login to the VSC systems.

Modification, withdrawal & no-show policy

Your registration is binding. Please only register for the course if you are really going to attend.

You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").

Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@vsc.ac.at).

No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.

Organizers

This course is jointly organized by the VSC Research Center, TU Wien, and EuroCC Austria.

Acknowledgements

This course is partially funded by the EuroCC 2 project.

The project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, and Türkiye.

Additional funding for the project comes from the Austrian federal ministries BMBWF and BMK.