Generative AI and ChatGPT - possibilities and limitations?
NOTE! join here https://www.meetup.com/turku-ai/events/291248202/
Large generative models - possibilities and limitations
Jaakko Vainio, Silo AI
Large generative models for a smaller language: GPT-3 for Finnish
Sampo Pyysalo, University of Turku
Bio: Sampo has been working in applied machine learning for natural language processing for two decades and is currently associate professor in data analytics at the University of Turku. His recent work focuses on large transformer-based language models, including the first transformer-based Finnish model, FinBERT, and upcoming generative models for Finnish based on the GPT-3 architecture. He is a PI of the EU-funded High-performance Language Technologies project that aims to introduce very large open language models for all EU languages, the LUMI pilot project FinnGen, and the LUMI extreme scale project Foundation for Finnish Artificial Intelligence.
Jaakko, and Sampo will be joined by Filip Ginter, Professor, University of Turku / Principal AI Scientist at Silo AI and Peter Sarlin, CEO at Silo AI for a panel discussion to further discuss:
- Where to best apply large generative models
- Applying generative models for smaller languages
- Do’s and dont’s of large generative models
- Are the generative models creative?
- What to expect from the next generation?
Filip Ginter, Professor, University of Turku / Principal AI Scientist, Silo AI
Bio:A leading Natural Language Processing researcher with nearly 20 years of experience in AI. PhD in Natural Language Processing, Professor at the University of Turku. Leader of the TurkuNLP research group that has performed well in a number of high-profile shared tasks in NLP, such as being among the top 3 research groups in most rankings in the top-tier conference CoNLL 2018 Shared Task. Filip has an h-index of 38 and citations totaling almost 9000.
Peter Sarlin, CEO, Silo AI
Bio: Silo AI CEO Peter Sarlin is an expert in machine learning with a strong background in turning research into products. Peter holds a PhD in machine learning from Turku Center for Computer Science and has published 70+ papers. He is a Research Associate with the London School of Economics and Imperial College Longon, Professor of Practice at Hanken School of Economics and Aalto University. He is also the Vice President at the IEEE Computational Finance and Economics Technical Committee.
This Turku.AI will also be streamed. More about the practicalities soon.
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