In Chapter 5, you learned about fine-tuning and model alignment in a very theoretical manner. It was the foundation to being able to fine-tune your own models. You learned about the whys, whats, and hows of fine-tuning. You learned that fine-tuning can be less resource and time consuming than building and training a model from scratch. The previous chapter talked to you about what happens to the neural network during the fine-tuning process – specifically that most layers are “frozen” and the final few layers ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
A. KansalBuilding Generative AI-Powered Appshttps://doi.org/10.1007/979-8-8688-0205-8_66. Finetuning: Hands on
Aarushi Kansal1
(1)
Melbourne, Australia
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