Prompt-Guided Multi-AI Sentence Generation for Cost-Accuracy Balance
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Solution Overview
Problem
Generative AI models with high performance vary in sentence generation accuracy and cost, leading to increased expenses when generating large amounts of highly accurate sentences.
Innovation Solution
Utilize a high-accuracy, high-cost second generative AI for a predetermined number of sentence generation processes, then generate a prompt based on its execution results to guide a lower-accuracy, lower-cost first generative AI to complete the remaining processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a first generative AI is used to continuously execute a large number of sentence generation processes, then productivity is improved, but manufacturing precision deteriorates
Solution Approach 1:
The sentence generation processes are segmented into two types: those executed by the first generative AI (continuous execution, lower priority) and those executed by the second generative AI (predetermined number, high priority). This segmentation allows the system to maintain high throughput while ensuring certain processes meet high accuracy requirements.
Solution Approach 2:
Different quality levels are applied to different sentence generation processes based on their importance. The second generative AI provides high-accuracy execution for predetermined processes, while the first generative AI handles other processes with acceptable accuracy, optimizing the overall balance between quality and productivity.
2Manufacturing precision
If a second generative AI with higher sentence generation accuracy is used, then manufacturing precision is improved, but loss of energy worsens
Solution Approach 1:
The second generative AI is used partially - only for a predetermined number of sentence generation processes - rather than continuously. This partial application of the high-accuracy model reduces energy consumption while still achieving the required accuracy for critical processes.
Solution Approach 2:
The system changes the operational parameters by switching between two different generative AI models based on process requirements. This parameter change allows optimization of energy consumption by selecting the appropriate model (first or second) for each sentence generation task.
3Productivity
If a first generative AI continuously executes sentence generation processes, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The continuous stream of sentence generation processes is segmented into two categories: predetermined processes handled by the second generative AI for high accuracy, and other processes handled by the first generative AI for high throughput. This segmentation resolves the contradiction between productivity and precision.
Solution Approach 2:
The control unit acts as an intermediary that determines which generative AI model should execute each sentence generation process. It mediates between the productivity requirements of continuous execution and the precision requirements of high-accuracy generation by routing tasks appropriately.
Data Source
AI summary
The information processing apparatus according to the present application includes the first execution unit that executes a predetermined number of sentence generation processes, among a plurality of sentence generation processes continuously executed by using a first generative AI, by using a second generative AI having sentence generation accuracy higher than that of the first generative AI, the generation unit that generates a prompt including an execution result of the second generative AI by the first execution unit, the prompt being for causing the first generative AI to execute remaining sentence generation processes other than the predetermined number of sentence generation processes executed by using the second generative AI, and the second execution unit that causes the first generative AI to execute the remaining sentence generation processes by using the generated prompt.