LLM Hands on Workshop

New

We know that when you’re learning AI & ML, a mix of classroom theory and hands-on practice is the best way to learn. So, we’re running a 1-day hands-on ML workshop to help you apply and develop further practical ML skills. This workshop will focus on Large Language Models (LLMs).

During this workshop, you’ll work in teams on a real dataset of your choice, with support from Accelerate Science Machine Learning Engineers and researchers. You’ll need to work on building, tuning and evaluating LLMs for your chosen dataset - we have some dataset ideas to kick you off, or you can bring your own. This is an opportunity to work on real-life ML problems and data, and gain confidence in using tools that you can take back to your own domain and research project.

This workshop is for people who are already confident with both ML fundamentals and Python programming. This isn’t a Python or ML introduction day - you’ll spend most of the day programming! We’ll use open-source libraries including HuggingFace and scikit-learn, so please come with a laptop and be prepared to get coding, before presenting your results to the group at the end of the day.

Postgraduate students and research staff

We will be working with Python and so all participants will need to have Python set up on their computer in advance. Participants should be confident with machine learning fundamentals and Python programming.

Number of sessions: 2

Presentations, demonstrations, group discussion and practicals

Python will need to be downloaded prior to the course

Please note that this is a full day course and participants should book both sessions. Refreshments and lunch will be provided, please add any dietary requirements to the special requirements section.

Full day course

Once or twice a term

• AI and Large Language Models Workshop
• Hands On AI Workshop
• AI Clinic Slot
• An Introduction to Diffusion Models in Generative AI
• An Introduction to Docker Workshop
• Packaging and Publishing Python Code for Research workshop