Sebastian Raschka
ddbaf0d83e
Use test mode arg in ch07 (#713)
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4 mēneši atpakaļ | |
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| .. | ||
| 01_main-chapter-code | 4 mēneši atpakaļ | |
| 02_dataset-utilities | 1 gadu atpakaļ | |
| 03_model-evaluation | 9 mēneši atpakaļ | |
| 04_preference-tuning-with-dpo | 7 mēneši atpakaļ | |
| 05_dataset-generation | 9 mēneši atpakaļ | |
| 06_user_interface | 8 mēneši atpakaļ | |
| README.md | 5 mēneši atpakaļ | |
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
- 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
