AI Prompting & Evaluation Portfolio (Personal Project)
This project entailed building a portfolio of prompt–response pairs reflecting standard AI trainer workflows. The work leveraged varied subject domains and applied feedback-based iterations to optimize response quality. Emphasis was placed on simulating realistic user-AI interactions for training purposes. • Created diverse prompt scenarios across multiple disciplines. • Generated context-aware, structured response examples. • Applied iterative feedback to improve content precision. • Enhanced adaptability of AI models through scenario variety.