Generative Response Engine Interaction During Long-Running Tasks
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Solution Overview
Problem
Current generative response engines lack the ability for users to interact during long-running tasks, leading to periods of inactivity and reduced adaptability due to sequential processing, which is inadequate for complex tasks spanning minutes, hours, or even days.
Innovation Solution
Implementing an interaction paradigm that allows users to interact with generative response engines through a conversational interface while tasks are being processed, enabling intermediate responses, task monitoring, and the ability to provide additional prompts or clarify previous statements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sequential processing is used to ensure complete task execution, then task reliability is improved, but user interaction capability deteriorates
Solution Approach 1:
The patent segments the task execution process into multiple intermediate steps, allowing the system to pause at designated checkpoints and accept user input. This segmentation enables the system to maintain reliable task execution while creating opportunities for user interaction during the processing workflow.
Solution Approach 2:
The patent introduces an intermediary interaction layer between the user and the task execution process. This intermediary mechanism allows users to submit additional prompts or modifications during task execution, which are then integrated into the ongoing process without compromising the overall task reliability.
2Manufacturing precision
If the system waits for complete task processing before accepting new input, then processing accuracy is improved, but responsiveness deteriorates
Solution Approach 1:
The patent prepares the system in advance to handle intermediate user inputs by pre-defining acceptable input types and validation rules. This preliminary preparation allows the system to quickly process and integrate user inputs during task execution without compromising the accuracy of the final result.
3Ease of operation
If intermediate responses are provided during task execution, then user experience is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal response mechanism that can handle multiple types of user interactions (additional prompts, clarifications, corrections) through a single integrated interface. This multi-functional approach improves user experience while avoiding the need for separate complex subsystems for each interaction type.
Data Source
AI summary
The present technology provides an interaction paradigm whereby a prompt source can continue to interact with the generative response engine through a conversational interface while the generative response engine is processing a task, especially a long-running task. A prompt source can provide additional prompts to modify or clarify the task. The prompt source can also provide additional tasks or subtasks. The generative response engine can also provide intermediate responses in the conversational interface. For example, the generative response engine can respond to prompts provided by the prompt source during the performance of the long-running task. The generative response engine can also determine that it should ask for additional details or clarification, and in response to such a determination, the generative response engine can provide intermediate responses in the conversation interface to encourage further input from the prompt source.