In this contributed article, Liran Hason, Co-Founder and CEO of Aporia, addresses the limitations of prompt engineering, outlining his argument for more comprehensive protection – namely, the implementation of guardrails between the LLM and end-user – to keep AI accurate while preventing unwanted behavior.
Data Science Bows Before Prompt Engineering and Few Shot Learning
March 13, 2023 by
In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.
