PromptWizard is a task-aware prompt optimization framework developed by Microsoft. It employs a self-evolution mechanism that allows large language models (LLMs) to generate, critique, and refine their own prompts and examples, continuously improving through iterative feedback and synthesis. This adaptive approach enhances task performance through evolutionary instructions and contextually learned examples. 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 significance of PromptWizard lies in its ability to significantly enhance LLM performance on specific tasks by optimizing prompts and examples to improve model performance and interpretability.