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Subscribe to our channel and click the bell icon if you enjoy our content. In this video tutorial, we are focusing on fine-tuning a large version of the T5 model with 24 layers and 770 million parameters for paraphrasing applications. We begin by importing the necessary libraries and connecting to a GPU, specifically the NVIDIA Tesla V100. We then load the dataset "pose" created by Google, which is ideal for fine-tuning our model for paraphrasing tasks. This involves using a T5 fine-tuner with defined functions to optimize the model.