When using artificial intelligence to generate names for a project, the results can often sound similar and lack diversity. Large language models can produce a dozen names, but getting a list of truly unique and creative suggestions can be challenging. However, with the right approach, it is possible to push these models to produce more interesting and diverse ideas.
To achieve this, it is essential to ask the AI model to generate a large number of suggestions, such as 100 ideas. This approach has been shown to produce more interesting results as the list progresses. The first stage of this technique involves asking the AI model to provide a list of ideas without filtering for quality, with the goal of quantity being the primary objective.
The second stage involves refining the list to maximize diversity. This is done by identifying similar ideas and replacing them with new ones that cover different angles and concepts. The goal is to create a list of 100 ideas where no two suggestions are based on the same underlying concept. This approach can help to produce a more diverse and creative set of suggestions.
An example of this technique was applied to the task of naming a coffee shop. The initial list of suggestions included typical names such as "The Daily Grind" and "Central Perk". However, after applying the two-stage prompt, the list was refined to include more unique and creative suggestions, such as "Warm Noise", "Blue Hour", and "Borrowed Sugar". These names are truly different and out-of-the-box, and some of them are quite appealing.
This two-stage prompt technique can be applied to a variety of projects, including naming a podcast, Wi-Fi network, or small business. Even if it does not yield the perfect name, it can at least get the creative juices flowing and provide a starting point for further brainstorming. By using this approach, individuals can tap into the potential of artificial intelligence to generate unique and creative ideas.
