Part 3/14:
Her story begins at a jazz club, a fitting setting that underscores her appreciation for improvisation and nuance—traits that greatly influence her approach to prompt engineering. She recounts how an ordinary night turned into a serendipitous meeting with Wu Jang, an early key figure at Copy AI, who introduced her to GPT-3’s playground. Her immediate curiosity and intuitive grasp of how language prediction could be manipulated to achieve desired outputs positioned her as an apt fit for the role, despite initial uncertainties about what the job entailed.