AI and Large Language Models Workshop

This is a 1-day workshop to equip you with knowledge of large language models (LLMs) for use in scientific research. The course will introduce LLMs and how they work. Next, we’ll discuss approaches to prompting and RAG, along with the methods that are used to finetune LLMs. The day concludes by covering responsible use and the landscape of models that are available to researchers with some of their pros and cons. After taking this workshop, you will be more confident to take the first steps in using LLMs in your own research.

Participants will require some background knowledge for this course. We will be looking at Python code and neural networks so familiarity with Python and some knowledge of machine learning and neural networks is required. We won’t be coding during the session, but will share code with you for you to work with after the session.

• Postgraduate students and research staff

• Familiarity with Python and some knowledge of machine learning and neural networks is required

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.

The information you provide when booking may be used to assess the effectiveness of our workshops, teaching methods in AI for science and to improve future sessions. Your data will remain confidential.

• Full day course

• Once or twice a term

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