Which generative AI feature would a content agency adjust to increase originality in AI outputs?

The temperature parameter is a crucial setting in generative AI models that influences the randomness of the outputs produced. By adjusting the temperature, a content agency can control how creative or original the generated content will be. A lower temperature results in more deterministic outputs, often leading to repetitive and predictable results, while a higher temperature encourages more variation and originality, allowing the model to explore less common responses and ideas.

This makes the temperature parameter exceptionally suited for enhancing the uniqueness of the generated outputs because it directly affects the diversity of the choices the model considers when producing content. On the other hand, dropout layers, activation functions, and input data size relate to different aspects of model training and architecture, mainly focusing on performance, learning efficiency, and the foundational capabilities of the model itself rather than the creativity or originality of the output.