Prompt Engineering: Implementing Tree of Thoughts with GPT-4 - AI Education Case Study

Watch a detailed demonstration video exploring prompt engineering with GPT-4, focusing on implementing the Tree of Thoughts (ToT) framework for enhanced AI reasoning. Learn how to leverage GPT-4's capabilities with plugins like Scholar and Vox to analyze academic papers and apply sophisticated reasoning frameworks. Follow along as the implementation moves from theoretical understanding to practical application, using AI education in schools as a case study. Discover how ToT improves upon the Chain-of-Thoughts (CoT) method by breaking down complex problems into manageable steps and generating multiple solution paths. Gain insights into the framework's four-step process and see its real-world application in developing comprehensive approaches to AI education, including aspects like diversity and inclusion, workforce training, and policy considerations. Perfect for those interested in advanced prompt engineering techniques and practical applications of large language models in educational contexts.