Institute of Computer Science
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  2. 2023/24 fall
  3. Transformers (MTAT.06.055)
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Transformers 2023/24 fall

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Lectures

  • Given by Mark, mark@tartunlp.ai
  • Mondays at 12:15 in Delta 1007
  • Open to anyone interested
  • Recordings and slides available after the lecture
  • Lecture videos end up here
  • Lecture slides end up here
1.Sep 11Motivation and overview
2.Sep 18Transformer basics
3.Sep 25Language models
4.Oct 9Large language models
5.Oct 23Machine translation
6.Oct 30Multilinguality
7.Nov 13Image processing
8.Nov 20Speech processing (video, slides)
9.Nov 27Multimodality and multitasking
10.Dec 4Efficiency
11.Dec 11Knowledge representation
12.Dec 18Future trends

Notes for self:

  • image processing (ViT; CLIP; ImageBind; vector embedding vs whole attention on output)
  • speech recognition and synthesis (spectrograms; wav2vec2 / XLSR; CLAP)
  • bio and health data
  • efficiency (distillation; quantization; pruning; non-autoregressive decoding;
  • multimodality () and multi-tasking (T5, BART, others)
  • knowledge representation in transformers, probing, BERTology
  • future trends
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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