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<p align="center">Overview of the PromptWizard framework</p>
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<img src="./images/overview.png" >
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<p align="center">Process of iterative optimization of instructions</p>
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<img src="./images/iterative_flowchart-1.png" width="49.5%" />
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</p>
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<p align="center">Process of sequential optimization of instruction and examples</p>
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<img src="./images/sequential_flowchart-1.png" width="49.5%" />
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PromptWizard is a discrete prompt optimization framework that employs a self-evolving mechanism where the LLM generates, critiques, and refines its own prompts and examples, continuously improving through iterative feedback and synthesis. This self-adaptive approach ensures holistic optimization by evolving both the instructions and in-context learning examples for better task performance.
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Three key components of PromptWizard are te following :
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- Critique and Synthesize diverse examples: Generates synthetic examples that are robust, diverse and task-aware. Also it optimizes both prompt and examples in tandem​
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- Self generated Chain of Thought (CoT) steps with combination of positive, negative and synthetic examples
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<p align="center">Stage 1: Iterative optimization of instructions</p>
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<p align="center">
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<img src="./images/iterative_flowchart-1.png" width="49.5%" />
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</p>
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<p align="center">Stage 2: Sequential optimization of instruction and examples</p>
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<img src="./images/sequential_flowchart-1.png" width="49.5%" />
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</p>
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## Installation ⬇️
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Follow these steps to set up the development environment and install the package:

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