# Chapter 7: Finetuning to Follow Instructions

&nbsp;
## Main Chapter Code

- [01_main-chapter-code](01_main-chapter-code) contains the main chapter code and exercise solutions

&nbsp;
## Bonus Materials

- [02_dataset-utilities](02_dataset-utilities) contains utility code that can be used for preparing an instruction dataset
- [03_model-evaluation](03_model-evaluation) contains utility code for evaluating instruction responses using a local Llama 3 model and the GPT-4 API
- [04_preference-tuning-with-dpo](04_preference-tuning-with-dpo) implements code for preference finetuning with Direct Preference Optimization (DPO)
- [05_dataset-generation](05_dataset-generation) contains code to generate and improve synthetic datasets for instruction finetuning
- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM





<br>
<br>

[![Link to the video](https://img.youtube.com/vi/4yNswvhPWCQ/0.jpg)](https://www.youtube.com/watch?v=4yNswvhPWCQ)
