From 2750a9579b993287b07beb8f164b88a818b3824a Mon Sep 17 00:00:00 2001 From: Steven J Hatzakis Date: Mon, 3 Feb 2025 10:05:57 -0500 Subject: [PATCH] Add historical reference to early work on meta prompting MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR adds a reference to an earlier community discussion "https://community.openai.com/t/meta-prompting-concept-asking-chat-gpt-for-the-best-prompt-for-your-desired-completion-then-to-revise-it-before-using-it/248619" about meta prompting, a concept I originally coined over a year ago and documented extensively in an ebook. Since OpenAI’s Cookbook now discusses meta prompting, I believe linking to this original post will provide valuable historical context and additional resources for users who want to explore the evolution of the technique. Metaprompting is becoming an essential strategy for prompt engineering, and acknowledging early contributions fosters a more comprehensive understanding of the topic. The linked post presents practical insights and discussions that complement the Cookbook’s guidance, helping users refine their approach. I appreciate your consideration and am happy to make any adjustments needed to align with OpenAI’s documentation standards. --- examples/Enhance_your_prompts_with_meta_prompting.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Enhance_your_prompts_with_meta_prompting.ipynb b/examples/Enhance_your_prompts_with_meta_prompting.ipynb index 4b4f5890dc..4b20e05b6b 100644 --- a/examples/Enhance_your_prompts_with_meta_prompting.ipynb +++ b/examples/Enhance_your_prompts_with_meta_prompting.ipynb @@ -9,7 +9,7 @@ "Welcome to our cookbook on meta prompting! In this guide, we'll explore how to take a basic prompt and refine it to enhance the quality of outputs from a language model. We'll use the example of summarizing news reports to illustrate the process.\n", "\n", "\n", - "Meta-prompting is a technique where you use an LLM to generate or improve prompts. Typically this is done using a higher intelligence model that optimizes prompts for a model with less intelligence. It’s a process of using prompts to guide, structure, and optimize other prompts, helping ensure they’re more effective in guiding the LLM towards high-quality, relevant outputs. We'll be leveraging the capabilities of `o1-preview`, a more intelligent model with advanced reasoning skills, to improve a prompt for `gpt-4o`.\n", + "Meta-prompting is a technique where you use an LLM to generate or improve prompts [reference](https://community.openai.com/t/meta-prompting-concept-asking-chat-gpt-for-the-best-prompt-for-your-desired-completion-then-to-revise-it-before-using-it/248619). Typically this is done using a higher intelligence model that optimizes prompts for a model with less intelligence. It’s a process of using prompts to guide, structure, and optimize other prompts, helping ensure they’re more effective in guiding the LLM towards high-quality, relevant outputs. We'll be leveraging the capabilities of `o1-preview`, a more intelligent model with advanced reasoning skills, to improve a prompt for `gpt-4o`.\n", "\n", "We're committed to making your development journey with LLMs smoother and more accessible through this technique. Don't forget to check out our [Generate Anything](https://platform.openai.com/docs/guides/prompt-generation) feature in the playground — it's a fantastic starting point to dive into meta prompting.\n", "\n",