Description

As LLMs have seen significant progress in recent years, fine-tuning them for specific applications has become increasingly important. In this blog post, Phil Schmid offers a detailed guide on how to do just that using Hugging Face in 2024. The article begins by outlining the use case and setting up the development environment, followed by creating and preparing the dataset for fine-tuning. Finally, Phil Schmid provides a comprehensive walkthrough of the model training process. With this guide, readers will gain valuable insights into how to harness the power of LLMs for their unique needs.