Sebastian Raschka 9dce43ec31 Upgrade to NumPy 2.0 (#520)
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Chapter 7: Finetuning to Follow Instructions

 

Main Chapter Code

 

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