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Week 7 Homework Submission – Synthetic QA & Fine-Tuning
This PR submits my Week 7 homework for MLE in the Generative AI Era, demonstrating an end-to-end pipeline for synthetic QA generation and supervised fine-tuning.
Included Notebooks
WeiYang-HW7-submit-v3.ipynb (local)
PDF ingestion, chunking, and synthetic QA generation using a local LLM
Dataset preparation and inspection
WeiYang_HW7_submit_colab_v2.ipynb (Colab T4 GPU)
Loads prepared synthetic QA data
Runs lightweight supervised fine-tuning using Hugging Face / TRL
Notes
Data generation (local) and training (Colab) are intentionally separated for environment stability
Training is kept minimal (1 epoch) to demonstrate correctness and reproducibility
A README is included with execution instructions and design rationale
Thank you for reviewing!