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In this video tutorial, the focus is on fine-tuning a transformer model, specifically Google T5 NLP, for paraphrasing applications. The model being used is the large version of T5 with 24 layers and 770 million parameters. The necessary libraries, PyTorch and Transformers, are imported, and a GPU (NVIDIA Tesla V100) is utilized for the fine-tuning tasks. The T5 fine-tuner section includes defined functions for the fine-tuning process. The next step involves loading the dataset "Paws" created by Google, which is ideal for fine-tuning tasks related to paraphrasing.