Ask your AI Ask your AI to turn this code into a guided bug-finding exercise.
Claude ChatGPT I am reading "A product manual changes every week. Why can RAG be preferable to fine-tuning for answering from the latest manual?" on CodeWiki (https://codewiki.com/practice/mcq/ai/checkpoint-3/checkpoint-3-rag-update/).
Context (verbatim from the page):
"""
A product manual changes every week. Why can RAG be preferable to fine-tuning for answering from the latest manual?
The team can update and re-index the source corpus without retraining model weights
RAG guarantees that every generated claim is true even when retrieval fails
RAG removes the need to evaluate retrieval quality or cite sources
"""
Introduce three subtle bugs into the example above and let me find them. Reveal each answer only after I have guessed.
Answer in English. Keep code examples in AI and LLM engineering. Where you are unsure, say so.