Information détaillée concernant le cours
Titre | Large Language Models |
Dates | 3-5 September 2025 |
Lang |
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Organisateur(s)/trice(s) | Dre Elisa Volpi, UNIGE |
Intervenant-e-s | Dr. Nicolai Berk, Immigration Policy Lab and the Public Policy Group at ETH Zürich |
Description | Interested in using Large Language Models (LLMs) in your research? This practical workshop introduces you to the essentials of leveraging these powerful models. You'll gain a basic understanding of text embeddings, transformer architectures, and the fundamentals of training and fine-tuning models. You will gain practical experience working with LLMs using the Huggingface library in Python to effectively use existing models, fine-tune your own models, deploying them via APIs, and build your own (simple) chatbot. We'll also cover model bias, minimizing LLM's environmental impact, and the responsible use of LLM predictions for statistical inference. The participants are kindly asked to fill out the following survey: https://forms.gle/ipDSTGDEFS3wnD9B6 It will help the instructor to tailor the course's content to the knowledge and interests of the participants. |
Lieu |
Lausanne |
Information | |
Places | 15 |
Délai d'inscription | 27.08.2025 |

