A key area of interest of Generative AI lies in the improvement of prompting techniques used in large language models. These models are tasked with generating human-like text based on provided prompts, aiming to create responses that are coherent, contextually accurate, and useful. This essay delves into three distinct types of prompting: Input Output Prompting, Chain of Thought Prompting, and Tree of Thought Prompting. Each of these methods has its merits and limitations, which will be examined alongside their applicability to AI development.
The integration of the "Tree of Thoughts" methodology into large language models significantly enhances their problem-solving capabilities,
