
Organizers:
Department of Digital Humanities, University of Helsinki
LAREINA project
Location:
University of Helsinki, Main Building (Unioninkatu 34 entrance)
The development of language-centric AI during the past few years has been remarkable. It poses challenges but also creates opportunities for organizations both in the private and the public sector. Many of us are curious about how to harness the power of AI in our own business.
Our workshop on Accessing Data for Large Language-based Text and Speech Models will explore the potential benefit of copyrighted data vs. freely available data as well as recent results in training speech models using massive data sets.
This workshop is addressed to developers, integrators and users of language technologies and AI solutions in Finland. The workshop will be held in English and on-site only.
Registration has been closed.
Participation is free of charge, but registration is required. We have 50 seats available. Lunch and coffee breaks are included in the workshop.
If you have any questions, please contact the organizers via email: lareina-office AT helsinki.fi
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08:30 – 09:00 |
Registration and Coffee |
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09:00 – 10:30 |
Session 1: ”Copyright & LLMs”, room: Karolina Eskelin (U3032), 3rd floor 09:00–09:15Welcome and Introduction ”The AI Act and its impact on LLMs” (remote) ”The Legacy of Mímir: LLMs and Copyright at the National Library of Norway” (remote) Discussion |
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10:30 – 11:30 |
Coffee break with Standing tables / Demo presentations, room: Christina (U2085), 2nd floor |
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11:30 – 13:00 |
Session 2: ”Speech Technology in Society”, room: Karolina Eskelin (U3032), 3rd floor 11:30–12:00”Speech synthesis in Sámi and Karelian – Bringing minority voices into innovation projects” ”AI-assisted customer call transcription” ”Unlocking the Potential of Radio and Television Archives for Automatic Speech Recognition” |
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13:00 – 14:00 |
Lunch Restaurant Flora, 2nd floor |
This workshop is organized by the LAREINA project and the University of Helsinki.
lareina-office [ATT] helsinki.fi
Materials (internal)
Last modified on 2025-11-05