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examples/Enhance_your_prompts_with_meta_prompting.ipynb
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"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",
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"Meta-prompting is a technique where you use an LLM to generate or improve prompts. Typically this is done using a higher intelligent 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. 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",
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"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",
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