Fix links in summary sections (#254)

ch06/01_main-chapter-code/ch06.ipynb

@@ -2345,7 +2345,7 @@
    "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)"
    ]

ch07/01_main-chapter-code/ch07.ipynb

@@ -2701,7 +2701,7 @@
    "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)"