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中文(ZH) DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners | 告别提示词工程：用DSPy构建模块化、可优化的AI程序

DSPy framework shifts AI development from prompt engineering to code

By PulseAugur Editorial · [1 sources] ·

DSPy is a new Python framework designed to shift AI development from prompt engineering to program engineering. It allows developers to define the desired input and output of AI tasks using signatures, treating Large Language Models (LLMs) as programmable components. The framework offers modularity, enabling complex tasks to be broken down into smaller, reusable modules, and features an optimizer that automatically refines prompts to improve performance or adapt to smaller, more cost-effective models. DSPy aims to provide a more robust, scalable, and efficient way to build AI applications by abstracting away the complexities of prompt tuning. AI

IMPACT Accelerates AI application development by abstracting prompt engineering into programmable modules.

RANK_REASON The item describes a new software framework for developing AI applications.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DSPy framework shifts AI development from prompt engineering to code

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33 / 100
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The item describes a new software framework for developing AI applications.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 中文(ZH) · cognitalk ·

    DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners | Goodbye Prompt Engineering: Building Modular, Optimizable AI Programs with DSPy

    <p> <br /> <a href="https://www.youtube.com/watch?v=-cKUW6n8hBU" rel="noopener noreferrer">https://www.youtube.com/watch?v=-cKUW6n8hBU</a></p> <h2> 告别提示词工程：用DSPy构建模块化、可优化的AI程序 </h2> <h3> 通俗易懂的整体解释 </h3> <p>想象一下，你以前指挥一个超级聪明的助手（大语言模型）做事，得事无巨细地写小纸条（提示词），比如“请用JSON格式输出，先思考再回答，语气要专业……”…

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