Part 7/13:
Designing Effective Prompts for Scientific Tasks
The team emphasized that prompt syntax and semantics critically influence AI output. Minor tweaks—such as repositioning instructions or adding example questions (few-shot learning)—can significantly improve responses.
They experimented with diverse prompts across tasks like:
Open-book Question Answering (extracting info solely from supplied text)
Closed-book QA (requiring inference)
Summarization (highlighting key points and avoiding hallucinations)
Paraphrasing (simplifying technical language)
Named Entity Recognition (identifying scientific entities)