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Explore the power of pretrained language models in natural language understanding through this comprehensive workshop presented by Pooja Bhojwani, Senior Data Scientist and Manager at Scotiabank, at the Toronto Machine Learning Series. Dive into the world of deep learning-based language models using transformer architecture like BERT and GPT, and learn how to apply them to real-world NLP tasks. Discover techniques for fine-tuning these complex models on domain-specific datasets, and gain hands-on experience with sentiment analysis, document classification, question answering, and named entity recognition. Master the process of data labeling using tools like 'Doccano' and transforming datasets into standard formats such as CoNLL. Extract embeddings from text to score sentence similarity and leverage Google Colab for all computations using Python in Jupyter notebooks. Access workshop materials and code on SlideShare and GitHub to enhance your learning experience in this 1 hour and 32 minutes session.
