A small marketing agency, with no machine learning engineers on staff, needs to use an AI model for a wide variety of rapidly changing tasks for its clients (e.g., writing ad copy, generating social media posts, summarizing feedback). They are considering two strategies:

• Strategy A: Develop and maintain a separate, highly specialized model for each specific type of task.
• Strategy B: Use a single, large, general-purpose model and provide it with a few examples of the desired output each time a new task is required.

Evaluate which strategy is more advantageous for the agency. Justify your recommendation by considering the implications for both the model's versatility and the ease of use for non-technical staff.