Artificial intelligence dialogue system construction method and device based on c-transform, and medium
By learning the code values of Chinese characters through the C-transform method, and automatically segmenting and establishing phrase relationships, the problems of complex models and high memory consumption in existing technologies are solved, and more accurate output and efficient sentence analysis are achieved.
CN116468023BActive Publication Date: 2026-03-24XINJIANG AGRI UNIV
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Patent Information
- Application Number
- CN202310311970.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-27
- Publication Date
- 2026-03-24
- Estimated Expiration
- 2043-03-27
AI Technical Summary
Technical Problem
Existing AI dialogue systems such as ChatGPT suffer from problems such as complex models, high memory consumption, difficulty in establishing relationships between words, inability of encoding to reflect sentence relationships, and low computational efficiency.
Method used
The C-transform method is used to learn the character code values of Chinese characters through the Talmud algorithm and noisy data, automatically segment and establish phrase relationships, and use deep learning to generate output short sentences to optimize the output results.
Benefits of technology
It improves the efficiency and accuracy of Chinese sentence analysis, resulting in more accurate output and higher sentence analysis efficiency.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a kind of based on C-transform artificial intelligence conversation system construction method, device and medium, method includes: to input position embedding value sequence is calculated to obtain two-dimensional conjugate sequence, then use the method of random segmentation to generate alternative input two-dimensional data sequence, then through C-transform whether alternative input two-dimensional data sequence has conjugacy is judged, to alternative input two-dimensional data sequence is short sentence exchange pairing, obtains paired data sequence, whether paired data sequence is judged to converge, the probability and quantity of output short sentence sequence are calculated, the maximum short sentence of probability is output, all output short sentence is linked together as output sequence, compare optimization and obtain the parameter value of error minimization artificial intelligence conversation system of embedding numerical sequence to output sequence. Based on the conversation output result of C-transform artificial intelligence conversation system construction method is more accurate, sentence analysis efficiency is high.
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