This article addresses common frustrations when using GPT-4 for data visualization, specifically its tendency to lose context and fabricate data. The author, a computer science professor, p…
This article addresses common frustrations when using GPT-4 for data visualization, specifically its tendency to lose context and fabricate data. The author, a computer science professor, proposes a solution involving the use of custom system prompts within GPT-4's Custom Instructions tool.
This method employs "guardrails" within the system prompts to guide GPT-4, ensuring it maintains focus and avoids creating nonexistent data. By implementing this approach, users can minimize inaccuracies and improve the reliability of GPT-4's data visualization outputs. The author's method aims to create a more consistent and less frustrating workflow.