Fix links in summary sections (#254)

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Sebastian Raschka 2024-06-29 07:51:31 -05:00 committed by GitHub
parent 5e24a042c1
commit 2d8eacb0fa
2 changed files with 2 additions and 2 deletions

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"id": "dafdc910-d616-47ab-aa85-f90c6e7ed80e",
"metadata": {},
"source": [
"- See the [./gpt_class_fintune.py](./gpt_class_fintune.py) script, a self-contained script for classification finetuning\n",
"- See the [./gpt_class_finetune.py](./gpt_class_finetune.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)"
]

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"source": [
"## Summary and takeaways\n",
"\n",
"- See the [./gpt_class_fintune.py](./gpt_class_fintune.py) script, a self-contained script for classification finetuning\n",
"- See the [./gpt_instruction_finetuning.py](./gpt_instruction_finetuning.py) script, a self-contained script for classification finetuning\n",
"- [./ollama_evaluate.py](./ollama_evaluate.py) is a standalonw script based on section 7.8 that evaluates a JSON file containing \"output\" and \"response\" keys via Ollama and Llama 3\n",
"- The [./load-finetuned-model.ipynb](./load-finetuned-model.ipynb) notebook illustrates how to load the finetuned model in a new session\n",
"- You can find the exercise solutions in [./exercise-solutions.ipynb](./exercise-solutions.ipynb)"