moj-2024/lab/00_Informacje_na_temat_przedmiotu.ipynb

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2024-02-27 14:35:01 +01:00
{
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"![Logo 1](https://git.wmi.amu.edu.pl/AITech/Szablon/raw/branch/master/Logotyp_AITech1.jpg)\n",
"<div class=\"alert alert-block alert-info\">\n",
"<h1> Modelowanie języka </h1>\n",
"<h2> 0. <i>Informacje na temat przedmiotu</i> [ćwiczenia]</h2> \n",
"</div>\n",
"\n",
"![Logo 2](https://git.wmi.amu.edu.pl/AITech/Szablon/raw/branch/master/Logotyp_AITech2.jpg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Informacje ogólne"
]
},
{
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"metadata": {},
"source": [
"## Kontakt z prowadzącym\n",
"\n",
"prowadzący: dr Paweł Skórzewski\n",
"\n",
"Najlepiej kontaktowąć się ze mną przez MS Teams lub mailowo.\n",
"\n",
"\n",
"## Literatura\n",
"Polecana literatura do przedmiotu:\n",
"\n",
"- Koehn, P. (2009). Statistical Machine Translation. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511815829\n",
"- Philipp Koehn. \"Neural Machine Translation\". 2020.\n",
"- https://web.stanford.edu/~jurafsky/slp3/3.pdf\n",
"- Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. North American Association for Computational Linguistics (NAACL).\n",
"- Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research vol 21, number 140, pages 1-67.\n",
"- Radford, Alec and Wu, Jeff and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya. 2019. Language Models are Unsupervised Multitask Learners\n",
"- https://jalammar.github.io/illustrated-transformer/\n",
"- https://www.youtube.com/watch?v=-9evrZnBorM&ab_channel=YannicKilcher\n",
"- https://www.youtube.com/watch?v=u1_qMdb0kYU&ab_channel=YannicKilcher\n",
"\n",
"\n",
"\n",
"## Zaliczenie\n",
"\n",
"\n",
"\n",
"Do zdobycia będzie conajmniej 600 punktów.\n",
"\n",
"Ocena:\n",
"\n",
"- -299 — 2\n",
"\n",
"- 300-349 — 3\n",
"\n",
"- 350-399 — 3+\n",
"\n",
"- 400-449 — 4\n",
"\n",
"- 450—499 — 4+\n",
"\n",
"- 500- — 5\n",
"\n"
]
},
{
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"metadata": {},
"source": []
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],
"metadata": {
"author": "Jakub Pokrywka",
"email": "kubapok@wmi.amu.edu.pl",
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"display_name": "Python 3",
"language": "python",
"name": "python3"
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"lang": "pl",
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"subtitle": "0.Informacje na temat przedmiotu[ćwiczenia]",
"title": "Ekstrakcja informacji",
"year": "2021"
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