Systems and methods for recommending artificial intelligence models

The system automates AI model selection and integration, addressing the challenges of manual selection and resource intensity by ranking and securely integrating models tailored to user needs, enhancing efficiency and accuracy.

WO2026150316A1PCT designated stage Publication Date: 2026-07-16THISWAY GLOBAL INC
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
THISWAY GLOBAL INC
Filing Date
2026-01-08
Publication Date
2026-07-16

AI Technical Summary

Technical Problem

The challenge of selecting the right artificial intelligence (AI) model for specific user requirements is hindered by the scarcity of specialized professionals, time-consuming manual selection processes, resource intensity, and subjective evaluation errors, with a lack of integration across different programming languages.

Method used

A system and method for recommending AI models that process user inputs to identify and rank relevant models, generate unique codes for access, and optionally integrate them using customizable programming, ensuring security and tailored performance.

Benefits of technology

This approach reduces the need for specialized professionals, saves time, minimizes resource usage, and enhances the accuracy of model selection and integration, while maintaining data security and user-specific customization.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure IB2026050122_16072026_PF_FP_ABST
    Figure IB2026050122_16072026_PF_FP_ABST
Patent Text Reader

Abstract

Disclosed is a system (100) for recommending Artificial Intelligence (AI) model, system comprising processing unit (102) that is being configured to: receive first input (FI) comprising application requirement of user; process FI and compare said FI to each AI model from amongst AI models, to determine AI model(s) that match FI; receive second input (SI) comprising data related to FI, from user device (104); process SI by each AI model(s) to generate response(s); evaluate each response to determine ranking of corresponding AI models based on relevance to SI; when ranking of corresponding AI models lies above predefined threshold, identify set of AI models from AI model(s); and generate first unique code (FUC) for each AI model of set, wherein FUC of corresponding AI model is sent to user device, as selected by user, to allow said user device to access any AI model of set.
Need to check novelty before this filing date? Find Prior Art