?? Revolutionizing Prompt Engineering with OpenAI's New Model ??
David Gwynn
Helping Business Owners Escape the Chaos of Complexity & Unlock Profitable Growth Through AI and Data-Driven Strategy
Traditionally, prompt engineering has been about creating detailed requests, asking for step-by-step breakdowns, and emphasizing the model's expertise. But with OpenAI’s latest reasoning-focused model (o1), it's time to rethink that strategy.
?? The key takeaway? Less is more. Overloading the prompt with details can actually reduce the quality of the output since o1 does most of the heavy lifting internally.
?? Here are some simplified tips adapted from OpenAI's API documents:
1?? Keep prompts simple and direct. 2?? Avoid "chain-of-thought" prompts (i.e., no need to ask the model to explain its reasoning). 3?? Don’t clutter with too much info; focus on what’s essential.
?? Example (STEM research): Prompt: What are three compounds we should consider investigating to advance research into new antibiotics? Why should we consider them?
The future of prompt engineering is here, and it’s simpler than ever!
Your thoughts on this new development?