├── CH01 └── Welcome.md ├── CH02 ├── CH02a_Working_with_Language_Models_and_Tokenizers.ipynb ├── CH02a_Working_with_multimodal_transformers.ipynb ├── CH02a_Working_with_zeroshot_classifiers.ipynb ├── CH02b_Working_with_Datasets_Libary.ipynb ├── CH02c_Speed_and_Memory_Benchmarking.ipynb └── data │ ├── a.csv │ ├── b.csv │ └── c.csv ├── CH03 ├── CH03a_BERT_As_one_of_Autoencoding_Language_Models.ipynb ├── CH03b_Other_Autoencoding_Models.ipynb ├── CH03c_Tokenization_Algorithms.ipynb ├── albert.png └── corpus.txt ├── CH04 ├── CH04_multitask_learning_t5.ipynb ├── CH04_zeroshot_text_generation_T0.ipynb └── CH04b_Autoregressive_language_model_training.ipynb ├── CH05 ├── CH05a_BERT_fine-tuning.ipynb ├── CH05b_Training_with_Naitve_PyTorch.ipynb ├── CH05c_Multi-class_Classification.ipynb ├── CH05d_Sentence_Pair_Regression.ipynb └── TTC4900.csv ├── CH06 ├── CH06a_Fine_tuning_language_models_for_NER.ipynb └── CH06b_Thinking_of_the_question_answering_problem_as_a_start_stop_token_classification.ipynb ├── CH07 ├── CH07a_Benchmarking_sentence_similarity_models.ipynb ├── CH07b_Using_BART_for_zero_shot_learning.ipynb ├── CH07c_Semantic_similarity_experiment_with_FLAIR.ipynb ├── CH07d_Text_clustering_with_Sentence-BERT.ipynb └── CH07e_Semantic_Search_with_Sentence_BERT.ipynb ├── CH08 ├── Ch08_HPO.ipynb ├── Ch08a_Boosting_IMDB.ipynb └── Ch08b_Domain_adaptation.ipynb ├── CH09 ├── 1.Adapters.ipynb ├── 2.NLI_with_LORA.ipynb ├── Finetuning LLama for NLI.ipynb ├── Lora Perf.xlsx ├── QLORA added Copy of 2.NLI_with_LORA.ipynb ├── T5 for Classification_with_LORA.ipynb ├── Untitled0.ipynb ├── _Lora for Book.ipynb └── peft_lora_seq2seq (Original Code.ipynb ├── CH10 ├── CH10_ LLM_working with LLaMA.ipynb ├── Copy of Finetuning LLama for NLI.ipynb ├── Fine_tune_Llama_2_in_Google_Colab (ORIGINAL.ipynb ├── Fine_tune_Llama_2_in_Google_Colab SAVAS.ipynb └── Working with LLaMA.ipynb ├── CH11 └── XAI with Transformers.ipynb ├── CH12 ├── CH12a_Pruning_Quantization.ipynb └── CH12b_Working_with_Efficient_Self-attention.ipynb ├── CH13 ├── CH13a_XLM_and_multilingual_BERT.ipynb ├── CH13b_Cross_lingual_text_similarity.ipynb ├── CH13c_Visualizing_cross-lingual_textual_similarity.ipynb ├── CH13d_Cross_lingual_classification.ipynb ├── CH13e_Cross_lingual_zero_shot_learning.ipynb └── CH13f_Fine-tuning_performance_of_multilingual_models.ipynb ├── CH14 ├── CH14a_fastAPI_Transformer_model_serving │ └── main.py ├── CH14b_Dockerizing_API │ ├── app │ │ └── main.py │ └── dockerfile ├── CH14c_Faster_Transformer_model_serving_using_Tensorflow_Extended │ ├── main.py │ └── saved_model.ipynb └── CH14d_Load_testing_using_Locust │ ├── docker │ ├── app │ │ └── main.py │ └── dockerfile │ ├── fastapi │ └── main.py │ └── locust_file.py ├── CH15 ├── CH15a_Visualization_with_BertViz.ipynb ├── CH15b_Tracking_with_TensorBoard.ipynb └── CH15c_Tracking_with_WandB.ipynb ├── CH16 ├── Ch16a_image_classification.ipynb ├── Ch16b_object_detection.ipynb ├── Ch16c.ipynb └── Ch16d_prompt.ipynb ├── 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