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								# Chapter 7: Finetuning to Follow Instructions
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											2024-05-25 11:22:51 -05:00
										 
									 
								 
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											2024-06-11 21:07:42 -05:00
										 
									 
								 
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								## Main Chapter Code
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								- [01_main-chapter-code](01_main-chapter-code) contains the main chapter code and exercise solutions
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								## Bonus Materials
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											2024-08-13 07:33:10 -05:00
										 
									 
								 
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								- [02_dataset-utilities](02_dataset-utilities) contains utility code that can be used for preparing an instruction dataset
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								- [03_model-evaluation](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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											2024-08-04 08:57:36 -05:00
										 
									 
								 
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								- [04_preference-tuning-with-dpo](04_preference-tuning-with-dpo) implements code for preference finetuning with Direct Preference Optimization (DPO)
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								- [05_dataset-generation](05_dataset-generation) contains code to generate and improve synthetic datasets for instruction finetuning
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											2025-04-12 14:51:02 -05:00
										 
									 
								 
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								- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM
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								<br>
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								<br>
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											2025-06-13 10:50:17 -05:00
										 
									 
								 
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								[](https://www.youtube.com/watch?v=4yNswvhPWCQ)
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