AI Content & Data Training Practice (self-directed)
Engaged in hands-on AI content and data training practice focused on improving machine-learning readiness through iterative refinement. Practiced data labeling and structuring workflows to support downstream model training use cases. Evaluated AI-generated outputs and adjusted prompts or feedback loops to increase response accuracy over time. • Labeled and structured practice data for machine learning tasks • Used iterative feedback to refine AI outputs • Applied prompting techniques to generate and improve content • Conducted evaluation to track and improve response accuracy