OpenAI has released a new prompting guide for its O-series models, specifically the o1 and o3-mini, which are designed for handling ambiguous tasks and multi-step reasoning. The guide emphasizes the importance of crafting clear and context-rich prompts while avoiding chain-of-thought instructions, which are unnecessary for these models as they reason internally. OpenAI President Greg Brockman highlighted key strategies for effective prompting, including clearly defining goals, specifying return formats, and identifying critical details to verify. This guidance aims to enhance the accuracy and usefulness of AI responses, catering to both developers and users of AI tools.
Here’s how to build your app idea using OpenAI o1-pro with my 6-prompt template system. Even if you can’t code. Watch for a 3hr 58min tutorial and learn how to build + code with AI. Prompts & links below. https://t.co/U0bAe0TUx1
Everyone is prompting reasoning models wrong. If you’re still using “Think step by step” in your prompts, you’re wasting tokens and limiting performance. Here’s how to actually get the best results from reasoning models (shared by OpenAI): https://t.co/lBAOhPifID
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