Optimizing Prompts for Better Chain of Thought Reasoning Using Microsoft's PromptWizard Framework
Sam Witteveen via YouTube
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Learn how to enhance prompt optimization for improved chain of thought reasoning through a detailed exploration of Microsoft's Prompt Breeder framework in this 21-minute tutorial video. Dive into the PromptWizard methodology, examining both the refinement of prompt instructions and the joint optimization of instructions with examples. Follow along with a practical Colab demonstration that illustrates these concepts in action. Access comprehensive resources including the PromptWizard blog post, framework documentation, GitHub repository, and research paper to deepen your understanding of prompt engineering techniques. Master the fundamentals of creating more effective prompts that generate better reasoning traces from large language models.
Syllabus
Intro
Microsoft PromptWizard Blog
PromptWizard Framework
PromptWizard: Refinement of prompt instruction
PromptWizard: Joint optimization of instructions and examples
PromptWizard Github
PromptWizard Paper
Colab Demo
Taught by
Sam Witteveen