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Industry vs Academia: Running a Course on Transformers in Two Setups
Irina Nikishina
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Maria Tikhonova
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Viktoriia Chekalina
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Alexey Zaytsev
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Artem Vazhentsev
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Alexander Panchenko
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Paper Details:
Month: August
Year: 2024
Location: Bangkok, Thailand
Venue:
TeachingNLP |
WS |
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https://github.com/s-nlp/transformers-course
https://web.stanford.edu/class/cs224n
https://web.stanford.edu/class/cs25
http://nlp.seas.harvard.edu/annotated-transformer
https://pytorch.org
https://pypi.org/project/transformers
https://huggingface.co
https://huggingface.co/cointegrated/rubert-tiny
https://huggingface.co/gpt2
https://openai.com/blog/chatgpt
https://openai.com/gpt-4
https://ai.meta.com/research/publications/llama-2-open-
https://mistral.ai/news/announcing-mistral-7b
https://ollama.com/library/mixtral
https://github.com/ai-forever/ru-prompts
https://huggingface.co/bert-base-multilingual-cased
https://github.com/BUPT-GAMMA/OpenHGNN
https://huggingface.co/ai-forever/Kandinsky3.1
https://github.com/manujosephv/pytorch_tabular
https://archive.ics.uci.edu/ml/datasets/bank+marketing
https://codalab.lisn.upsaclay.fr
https://codalab.lisn.upsaclay.fr/competitions/531
https://codalab.lisn.upsaclay.fr/competitions/18214
https://codalab.lisn.upsaclay.fr/competitions/642
https://codalab.lisn.upsaclay.fr/competitions/18243
https://github.com/ai-forever/ru-dolph
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