News Summary

• Pre-filtering is a cost-saving technique designed to optimize AI workflows.
• Instead of directing all inputs to an advanced, high-cost AI model, a low-cost model is employed as an intermediary step.
• This model filters out irrelevant or low-priority data, making sure that only the most critical inputs are processed by the expensive AI system.
• This approach not only saves time but also reduces operational costs significantly.
• It is particularly effective in scenarios where input data varies widely in relevance or complexity.