Onsite & Online Training 2025 (in English)
Terminology & Artificial Intelligence (2)
Retrieval-Augmented Generation and Large Language Models
(including hands-on work)
Dates: June 3 & 4, 2025
Schedule: from 9:00 am to 5:00 pm (UTC+2)
Place: local information
Limited to 25 participants
Persons in charge of the training
Dr Laure Berti-Equille, Research Director, IRD French National Institute for Sustainable Development (France)
Rafail Giannadakis, University of Crete, TALOS AI for SSH (Greece)
Rachel Milio, University of Crete, TALOS AI for SSH (Greece)
Rafail Giannadakis, University of Crete, TALOS AI for SSH (Greece)
Rachel Milio, University of Crete, TALOS AI for SSH (Greece)
Organisers
Ass Prof Maria Papadopoulou, University of Crete (Greece)
Prof Christophe Roche, University of Crete, TALOS AI for SSH (Greece)
Prof Christophe Roche, University of Crete, TALOS AI for SSH (Greece)
Presentation
Knowledge graphs as well as LLMs are becoming powerful tools for retrieving and structuring information across various application domains. They are increasingly being integrated with machine learning and natural language processing techniques to enhance information retrieval and reasoning. The TOTh training in “Terminology and Artificial Intelligence” combines theory and practice to offer the needed knowledge to tackle the challenges of Artificial Intelligence in Terminology. The TOTh training in Artificial Intelligence takes place over 2 sessions of 2 days for 2 consecutive years. Session 2024 is dedicated to the contribution of Symbolic Artificial Intelligence (knowledge representation, ontologies, knowledge graphs) to Terminology. The 2025 session will be dedicated to the contribution of Natural Language Processing and Connectionist Artificial Intelligence (Machine Learning, Deep Learning) to Terminology.
Objectives of the training
Participants will acquire the theoretical and practical skills needed to build Retrieval-Augmented Generation (RAG) systems, leveraging Large Language Models (LLMs). Open LLMs will be used to extract concepts, entities, and relationships from texts to populate knowledge graphs.
Target audience
TOTh training sessions are designed for an interdisciplinary audience of practitioners, researchers, and students: linguists, terminologists, translators, librarians, information scientists, digital humanists, cultural heritage experts, computer scientists, knowledge engineers…
Participants are asked to bring their laptops
Training Fees:
Student: 50 €
Academic: 100 €
Other/Industrial : 150 €
Academic: 100 €
Other/Industrial : 150 €
Registration: opening soon