├── README.md
├── images
└── dls.png
├── week_01_intro_to_nlp_embeddings
├── Homework
│ └── hw_1_simple_embeddings.ipynb
├── Lecture
│ └── Word Embeddings.pptx.pdf
├── Practice
│ └── text_preprocessing_and_classification.ipynb
└── Readme.md
├── week_02_RNN
├── Homework
│ └── hw_2_text_classification.ipynb
├── Lecture
│ └── RNN.pdf
├── Practice
│ └── neural_text_classification.ipynb
└── Readme.md
├── week_03_language_modeling
├── Homework
│ └── hw_language_modelling.ipynb
├── Lecture
│ ├── LM Лекция 1. Постановка задачи и метрики качества.pdf
│ ├── LM Лекция 1. Постановка задачи и метрики качества.pptx
│ ├── LM Лекция 2. N-граммные языковые модели.pdf
│ ├── LM Лекция 2. N-граммные языковые модели.pptx
│ ├── LM Лекция 3. Решение LM с помощью RNN.pptx
│ ├── LM Лекция 3. Решение LM с помощью RNN.pptx.pdf
│ ├── LM Лекция 4. Методы генерации текста.pptx
│ └── LM Лекция 4. Методы генерации текста.pptx.pdf
├── Practice
│ ├── char-level_training.ipynb
│ └── Скринкаст 1.json
└── Readme.md
├── week_04_translation_attention_mechanism
├── Lecture
│ ├── Machine Translation, Seq2Seq.pdf
│ └── Machine Translation, Seq2Seq.pptx
├── Practice
│ └── seminar_machine_translation.ipynb
└── Readme.md
├── week_05_transformer
├── Lecture
│ ├── Transformer architecture.pdf
│ └── Transformer architecture.pptx
├── Practice
│ └── Seminar_Attention_and_Transformers.ipynb
└── Readme.md
├── week_06_transfer_learning
├── Homework
│ ├── [homework]Attention_and_transformers.ipynb
│ ├── data_problems.xlsx
│ └── data_problems_translated.xlsx
├── Lecture
│ ├── Лекция 1. Введение в Transfer Learning. Self-supervised learning .pdf
│ └── Лекция 1. Введение в Transfer Learning. Self-supervised learning .pptx
├── Practice
│ └── bart_finetuning_practice.ipynb
└── Readme.md
├── week_07_gpt_models
├── Lecture
│ └── [DLS-2] Count GPTs -1, 1, 2, 3.pdf
└── Readme.md
├── week_08_chatgpt_instruction_tuning_RAG
├── Homework
│ └── hf_rag.ipynb
├── Lecture
│ └── [DLS-2] Count GPTs -1, 1, 2, 3.pdf
├── Practice
│ └── seminar_rag.ipynb
└── Readme.md
├── week_09_interpretibiblity
├── Lecture
│ ├── dls mechinterp.pdf
│ └── dls mechinterp.pptx
└── Readme.md
└── week_10_generated_text_detection
├── Homework
└── hf_rag.ipynb
├── Lecture
├── Artificial text detection for Deep Learning School.pptx
└── Artificial text detection for Deep Learning School.pptx.pdf
├── Practice
└── Copy_of_ATD_seminar_COLING.ipynb
└── Readme.md
/README.md:
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