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LLMs-from-scratch/ch07/README.md
Sebastian Raschka dbcdc7593b Generating a synthetic dataset for instruction finetuning (#245)
* Generating a synthetic dataset for instruction finetuning

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# Chapter 7: Finetuning to Follow Instructions
## Main Chapter Code
- [01_main-chapter-code](01_main-chapter-code) contains the main chapter code and exercise solutions
## 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 DPO (in progress)
- [05_dataset-generation](05_dataset-generation) contains code to generate synthetic datasets for instruction finetuning