(b) Relevant and Authentic Training Data
Relevant and authentic training data ensures the AI model learns accurate patterns, leading to better performance and efficiency in an AI project.
The AI Project Cycle (Section 1.1) clearly states that data must be collected from "reliable and authentic sources" as it forms the base of the project. Quality training data directly impacts model accuracy and efficiency. Options (a), (c), and (d) — high complexity, minimal preprocessing, and limited hardware — all reduce efficiency rather than improve it.