HS2024: 61611 Seminar Natural Language Processing

This seminar offers a conceptual and practical introduction to modern-day Natural Language Processing (NLP). The covered NLP techniques include the latest advancements such as transformer architectures, BERT, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), alongside foundational methods like Bag-of-Words (BoW), TF-IDF, and word2vec. Some lectures are featured by guest speakers from academia or industry, giving additional perspectives to the students.

Before each session, students have to study the reading material and prepare questions for discussion. This engagement will deepen the understanding and foster analytical skills. Additionally, participants will undertake a project in the realm of NLP, which they will present at the end of the seminar.

Upon successful completion of this course, you will …

- know the most important methods of NLP
- be able to understand papers in the field of NLP
- have planned, executed and presented a project in the field of NLP
- have developed your presentation skills
- be able to understand and critically comment on the presentations of your fellow students

Bachelor and master students in computer science

https://www.digitale-nachhaltigkeit.unibe.ch/studies/natural_language_processing/nlp_seminar_autumn_2024/index_eng.html

Englisch

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Luca Rolshoven

Main Lecturer

luca.rolshoven@students.unibe.ch

Unbegrenzt – wenn online geschaltet

Sie können diesem Kurs direkt beitreten.

Unbegrenzt

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