Title: Discussion 1 — The Stale Chatbot Dilemma
Course: AIINFRA 201: Model Adaptation — Fine-Tuning & Quantization > Section: Week 01 — Adapt, Prompt, or Retrieve: The Model Customization Decision

💬 Discussion 1 — The Stale Chatbot Dilemma (20 pts)

Imagine your company's customer-support chatbot has started giving stale answers — it recommends a discontinued product and quotes last year's pricing. Leadership wants it fixed fast, and someone on the team immediately suggests "let's fine-tune it on our current catalog." Post your answer to these questions:

- Would you fine-tune, add RAG, or prompt-engineer harder? Walk through your reasoning using this week's decision sequence.
- What specific evidence would you gather before deciding (e.g., how often does the catalog change? is the problem stale facts or bad tone?) and how would that evidence change your answer?
- Is there a hybrid approach here? Describe what it would look like in practice.

Then respond to at least two classmates, engaging with a part of their reasoning you agree or disagree with — vague agreement ("great point!") won't count. Point to something specific in their post.