Tree-of-Thought Approach

Involves hierarchically structuring a prompt or query akin to a tree structure to specify the desired line of thinking or reasoning for the model. Examples:

• Identify and behave as three different experts that are appropriate to answering this question.

All experts will write down the step and their thinking about the step, then share it with the group.

Then, all experts will go on to the next step, etc.

At each step all experts will score their peers response between 1 and 5, 1 meaning it is highly unlikely, and 5 meaning it is highly likely.

If any expert is judged to be wrong at any point then they leave.

After all experts have provided their analysis, you then analyze all 3 analyses and provide either the consensus solution or your best guess solution.

The question is…

• Simulate three brilliant, logical experts collaboratively answering a question.

Each one verbosely explains their thought process in real-time, considering the prior explanations of others and openly acknowledging mistakes. At each step, whenever possible, each expert refines and builds upon the thoughts of others, acknowledging their contributions. They continue until there is a definitive answer to the question. For clarity, your entire response should be in a markdown table. The question is...

• Imagine three different experts are answering this question.

All experts will write down 1 step of their thinking,

then share it with the group.

Then all experts will go on to the next step, etc.

If any expert realizes they're wrong at any point then they leave.