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In today's video, the tutorial demonstrates the simplest method for fine-tuning large language models like Lama V2 or other models such as Falcon or Llama V1. The process involves using a custom dataset in CSV format with three columns - instruction, input, and output. The focus is on instruction fine-tuning, but simple fine-tuning is also possible. The example dataset showcases an instruction to provide three tips for staying healthy. The text advises loading the data using Python and pandas for easier processing.
