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| .. | ||
| 01_main-chapter-code | ||
| 02_dataset-utilities | ||
| 03_model-evaluation | ||
| 04_preference-tuning-with-dpo | ||
| 05_dataset-generation | ||
| README.md | ||
Chapter 7: Finetuning to Follow Instructions
Main Chapter Code
- 01_main-chapter-code contains the main chapter code and exercise solutions
Bonus Materials
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02_dataset-utilities contains utility code that can be used for preparing an instruction dataset.
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03_model-evaluation contains utility code for evaluating instruction responses using a local Llama 3 model and the GPT-4 API.
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04_preference-tuning-with-dpo implements code for preference finetuning with Direct Preference Optimization (DPO)
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05_dataset-generation contains code to generate synthetic datasets for instruction finetuning