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* Llama3 from scratch improvements * Update HF hub version in pixi.toml * Update README.md
25 lines
1009 B
Markdown
25 lines
1009 B
Markdown
# Chapter 7: Finetuning to Follow Instructions
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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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- [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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- [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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- [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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[](https://www.youtube.com/watch?v=4yNswvhPWCQ)
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