AI Content Quality Evaluation (Self-Directed Practice)
Regularly tested and evaluated ChatGPT responses across diverse prompts for accuracy, helpfulness, tone, and instruction adherence. Documented patterns in AI-generated output to improve prompting strategies and ensure higher-quality responses. Practised text annotation for sentiment, relevance, and factual accuracy as part of independent AI literacy and annotation skill building. • Performed prompt-to-response quality checks on LLM outputs. • Annotated text with sentiment, relevance, and factual accuracy tags. • Assessed instruction-following behavior and correctness. • Iterated on prompts based on observed failure modes and strengths.