What aspect of generative AI does steerable AI primarily control?

Steerable AI primarily focuses on controlling model output characteristics such as style and tone. This aspect allows users to dictate how the generated content should be shaped according to specific preferences or requirements. For example, if an application demands a formal tone or a creative style, steerable AI can adjust the generation process accordingly. This capability enhances the versatility of generative AI applications, enabling developers and users to tailor the responses or outputs of models for different contexts and audiences.

The emphasis on output characteristics distinguishes steerable AI from other aspects like data preprocessing, which involves preparing data for training, model training speed, which pertains to the efficiency of the training process, and hardware resource allocation, which deals with managing computational resources. Steerable AI's capability to modify how content is presented is crucial for applications that require targeted communication and engagement with users.