Generative AI For The Rest Of US

Self-Consistency

Tools like ChatGPT are designed to generate text based on a probabilistic model of language. This means that the model generates responses by predicting the most likely next word based on the context it has seen so far. However, this probabilistic nature can sometimes lead to inconsistencies in the model's responses, especially when generating long-form text or engaging in complex conversations. To counteract this, you can use the self-consistency technique to guide the model towards generating more coherent and consistent responses. This technique involves prompting the model to maintain consistency with its previous responses or adhere to a specific set of rules or guidelines. In practice, you might ask the same question to the model multiple times, and the model may generate different responses each time. By selecting the most frequent or consistent response, you can obtain a more reliable answer.

For example, if you ask ChatGPT the following question:

Act as a business consultant. 
My company sells three main products: earphones, headphones, and speakers. 
Which product has the highest demand? 
What should I focus on? 
Reply with the most popular product and no other content.

This is an example of an output after asking the same question multiple times: