Title: Course Review & Reflection
Course: AIINFRA 201: Model Adaptation — Fine-Tuning & Quantization > Section: Week 16 — Capstone Project & Course Review

💬 Course Review & Reflection (20 pts)

You've spent 16 weeks learning to adapt models instead of just using them off the shelf. Let's close the loop. Your post (aim for 200–300 words): Reflect on the biggest shift in your thinking over the course. Some prompts to get you started (answer whichever resonates, or write your own angle):

- What's something you believed about fine-tuning or quantization in Week 1 that you now know is wrong or incomplete?
- Which week's skill do you think you'll actually use most in your work — and why?
- What was the hardest concept to click, and what finally made it click?
- If you were mentoring someone starting AIINFRA 201 tomorrow, what's the one thing you'd tell them to pay attention to?

Peer responses: Reply to two classmates' posts. Make your replies substantive — ask a question, connect their reflection to your own experience, or offer a resource that helped you with a similar sticking point. Grading: Scored out of 20 points using the Discussion Rubric — thoughtful original post, and two genuine peer replies.