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Subscribe to our channel and click the bell icon for more videos. Today, we are fine-tuning a 24-layer T5 model with 770 million parameters for paraphrasing. We are doing transfer learning on the large version of the model. Connect to a GPU, import necessary libraries, set a seed, and load the "pose" dataset created by Google for fine-tuning. This dataset is ideal for paraphrasing tasks. Our next step is the T5 fine-tuner with defined functions. Check out the NVIDIA Tesla V100 GPU being used for fine-tuning tasks.