The AI Filter
block is designed to process input data by applying a specified natural language condition, facilitating effective data filtering and decision-making.
I/O | Feature | Type | Simple Explanation |
---|---|---|---|
input | input | string | The text to apply the filter on. |
input | condition | string | The natural language condition that will dictate how the inputs are filtered. |
input | model | selector | Select from a range of supported LLM models for carrying out inference based on provided inputs. |
input | cache_response | boolean | When enabled, this feature saves AI calls by returning the same response if the inputs have not changed since the last processing instance. |
output | filtered_output | string | - This represents the filtered result of your data evaluation. If your input satisfies the defined condition, it appears here unchanged; otherwise, it will be empty. |
Consider how this block can enhance various processes:
In essence, when there is a need to filter or make decisions based on textual data seamlessly, the AI Filter
block emerges as an essential tool!