Part 6: Finetuning to Follow Instructions Main Code 01_main-code contains the main part code and Example solutions Bonus Materials 02_dataset-utilities contains utility code that can be used for preparing an instruction dataset 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 implements code for preference finetuning with Direct Preference Optimization (DPO) 05_dataset-generation contains code to generate and improve synthetic datasets for instruction finetuning 06_user_interface implements an interactive user interface to interact with the pretrained LLM