Model Management
Tools to select, compare, and switch between AI models.
What
Allows users to select and switch between different AI models to optimize their output for cost, accuracy, or desired characteristics.
How
Users can adjust the model at the prompt level or within settings, providing flexibility to experiment with various models during a session.
When
Ideal when users need to choose between models based on specific goals, such as cost management, quality, or security concerns.
Practical Tips
Clarify Differences
Provide users with clear information about how models differ to manage expectations.
Allow Iteration
Enable users to switch models as needed to refine results.
Control Access
Set permissions for model-switching based on user needs or compliance regulations.
Runwayml
RunwayML's "Model Management" pattern offers model options like "Gen-3 Alpha Turbo" for speed and "Gen-3 Alpha" for fidelity, tailoring outputs to project needs
ChatGPT
ChatGPT's "Model Management" pattern lets users choose models like "GPT-4o" for versatility or "o1-mini" for speed, balancing functionality and efficiency
