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  • An introduction to fine-tuning LLMs at home with Axolotl • The Register
    Notes
    In this guide we'll discuss: Where and when fine-tuning can be useful. Alternative approaches to extending the capabilities and behavior of pre-trained models. The importance of data preparation. How to fine-tune Mistral 7B using your own custom dataset with Axolotl. The many hyperparameters and their effect on training. Additional resources to help you fine-tune your models faster and more efficiently.
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