PromptWizard
Task aware prompt optimization framework
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- Feedback driven optimization: LLM generates, criticizes, and improves its own prompts and examples, continuously improving through iterative feedback and synthesis.
- Criticize and synthesize diverse examples: Generate robust, diverse, and task aware comprehensive examples while optimizing prompts and examples.
- Self generated chain of thought (CoT) steps: Enhance problem-solving skills through CoT.
- Integration of task intent and expert roles: improving model performance and interpretability.
- Detailed reasoning chain generation: problem solving ability enriched by CoT prompts.
- Support custom datasets: Users can use their own datasets to optimize prompts.
Product Details
PromptWizard is a task aware prompt optimization framework developed by Microsoft. It utilizes a self evolving mechanism to enable large language models (LLMs) to generate, critique, and refine their prompts and examples, continuously improving through iterative feedback and synthesis. This adaptive method is comprehensively optimized through evolutionary instructions and context learning examples to improve task performance. The three key components of this framework include feedback driven optimization, critique and synthesis of diverse examples, and self generated Chain of Thought (CoT) steps. The importance of PromptWizard lies in its ability to significantly improve the performance of LLM on specific tasks, enhancing the model's performance and interpretability by optimizing prompts and examples.
