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Overview of the PromptWizard framework
-Process of iterative optimization of instructions
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-Process of sequential optimization of instruction and examples
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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.
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
- Self generated Chain of Thought (CoT) steps with combination of positive, negative and synthetic examples
+Stage 1: Iterative optimization of instructions
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+Stage 2: Sequential optimization of instruction and examples
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## Installation ⬇️
Follow these steps to set up the development environment and install the package: