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Today we are looking at fine-tuning a model in GPT-3. This video may be longer than usual, but it is necessary. Learning about this can greatly benefit you as there are many implications in large language models. To fine-tune our model, we need to create a consistent output that meets our criteria every time. You need data to do fine-tuning. The first step is to create a desired output with a good prompt to achieve consistent results in length and text structure.