An AI model for creative expression must allow users to explore ideas freely. Over-constraining the AI model with many rules at the start limits its creativity. Users find what they want by seeing many options first.
By Pawan Nayar · from the LLOS AI Learning record
An AI model for creative expression must allow users to explore ideas freely.
Over-constraining the AI model with many rules at the start limits its creativity. Users find what they want by seeing many options first.
A creative AI model needs two main modes. First, a setup mode for brand information, used only once. This creates a profile. Second, a daily exploration mode. Here, the user types a simple idea and gets many diverse expressions. The brand profile works silently in the background. This allows the AI model to be more creative. The user can then refine the results.
A marketer wants slogans for a new coffee brand. In setup mode, the marketer defines the brand's voice and audience. Later, in exploration mode, the marketer types 'new coffee' and gets many different slogans. The AI model uses the brand profile to guide its suggestions, but it does not limit the initial ideas. The marketer can then ask for more slogans like one they prefer.
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An AI system should offer a wide range of words and ideas. These are like ingredients for slogans.
A developer can give an AI model two different ideas. The AI model then blends these ideas together.
An AI model should not try to put a small number on things that are very big. Human ideas and ways of speaking are always changing.
An AI model has a 'Creative Studio' function. This function helps create slogans, taglines, and captions.
An AI model for creative expression must allow users to explore ideas freely. Over-constraining the AI model with many rules at the start limits its creativity. Users find what they want by seeing many options first.