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2024-06-29 07:33:26 -05:00
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ch06/01_main-chapter-code/ch06.ipynb
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@@ -2345,7 +2345,9 @@
"id": "dafdc910-d616-47ab-aa85-f90c6e7ed80e",
"metadata": {},
"source": [
"- Interested readers can find an introduction to parameter-efficient training with low-rank adaptation (LoRA) in appendix E\n"
"- See the [./gpt_class_fintune.py](./gpt_class_fintune.py) script, a self-contained script for classification finetuning\n",
"- You can find the exercise solutions in [./exercise-solutions.ipynb](./exercise-solutions.ipynb)\n",
"- In addition, interested readers can find an introduction to parameter-efficient training with low-rank adaptation (LoRA) in [appendix E](../../appendix-E)"
]
}
],
@@ -2370,7 +2372,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.11"
"version": "3.11.4"
}
},
"nbformat": 4,