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HOW TO PROMPT ON OPENAI’S NEW O1 MODELS

Emilia David@miyadavid
September 12, 2024 4:01 PM
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--------------------------------------------------------------------------------

OpenAI’s latest model family, o1, promises to be more powerful and better at
reasoning than previous models. 

Using GPT-o1 will be slightly different than prompting GPT-4 or even GPT-4o.
Since this model has more reasoning capabilities, some regular prompt
engineering methods won’t work as well. Earlier models needed more guidance, and
people took advantage of longer context windows to provide the models with more
instructions.

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According to OpenAI’s API documentation, the o1 models “perform best with
straightforward prompts.” However, techniques like instructing the model and
shot prompting “may not enhance performance and can sometimes hinder it.” 

OpenAI advised users of o1 to think of four things when prompting the new
models:

 * Keep prompts simple and direct and do not guide the model too much because it
   understands instructions well
 * Avoid chain of thought prompts since o1 models already reasons internally
 * Use delimiters like triple quotation markets, XML tags and section titles so
   the model can get clarity on which sections it is interpreting
 * Limit additional context for retrieval augmented generation (RAG) because
   OpenAI said adding more context or documents when using the models for RAG
   tasks could overcomplicate its response

OpenAI’s advice for o1 vastly differs from the suggestions it gave to users of
its previous models. Previously, the company suggested being incredibly
specific, including details and giving models step-by-step instructions, o1 will
do better “thinking” on its own about how to solve queries. 

Ethan Mollick, a professor at the Wharton School of Business at the University
of Pennsylvania, said in his One Useful Thing blog that his experience as an
early user of o1 showed it works better on tasks that require planning, where
the model concludes how to solve problems on its own. 


PROMPT ENGINEERING AND MAKING IT EASIER TO GUIDE MODELS 

Prompt engineering, of course, became a method for people to drill down on
specifics and get the responses they want from an AI model. It’s become not just
an important skill but also a rising job category. 

Other AI developers released tools to make it easier to craft prompts when
designing AI applications. Google launched Prompt Poet, built with the help of
Character.ai, which integrates external data sources to make responses more
relevant. 

o1 is still new, and people are still figuring out exactly how to use it
(including me, who has yet to figure out my first prompt). However, some social
media users predict that people will have to change how they approach prompting
ChatGPT. 



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