6results about How to "Guaranteed personalization" patented technology

The invention relates to the technical field of multi-scene teaching and training AI agent application, and discloses a multi-scene teaching and training AI agent application method, system and device, a medium and a product. Through multi-source teaching and training demand data standardization processing, teaching and training scene adaptation model reasoning, business rule bidirectional verification, deployment optimization and whole-process iteration closed loop logic, target interaction request data output by a cue word engineering model serves as core input of a teaching and training adaptation model, and deep collaboration of the target interaction request data and the cue word engineering model is achieved; and formulating an optimization deployment scheme based on the target interaction result and the feedback data, and iterating the intelligent agent. According to the method, the problems of independence and disjunction of cue word engineering and model fine tuning, insufficient interaction continuity, insufficient data security, poor teaching business adaptability and the like in an existing intelligent agent are effectively solved, the accuracy and the real-time performance of teaching and training services are remarkably improved, the teaching management cost is reduced, and meanwhile, the service effect is continuously optimized through closed-loop iteration.

This invention relates to a gynecological postoperative rehabilitation guidance system based on 5G and XR, specifically in the field of gynecological postoperative rehabilitation. Through multimodal data fusion and intelligent algorithms, it achieves non-invasive and precise quantitative assessment of pelvic floor muscle contraction quality, and transforms the assessment results into immersive and dynamic visual feedback attached to a virtual coach in real time. This significantly improves the standardization of movements and the intuitiveness of guidance in home rehabilitation training. At the same time, based on the user's historical status and reinforcement learning, it adaptively optimizes subsequent training parameters, forming a complete intelligent closed loop of assessment, feedback, and optimization. This effectively improves user training compliance and ensures the safety, personalization, and efficiency of the rehabilitation process.

The present disclosure relates to a method for downloading an application resource package and an electronic device. The method applied to a content distribution server comprises: in response to an initial download request initiated by a first application client, returning a total byte number of the application resource package to the first application client; in response to a fragment download request sent by the first application client according to the total byte number, detecting whether a first byte interval requested by the fragment download request hits a second byte interval; in the case of a hit, pulling first fragment data from a source station server and returning the first fragment data to the first application client, so that the first application client obtains a target application resource package containing a current tracking identifier according to the first fragment data, and the first application server establishes a first mapping relationship between a first client identifier and a second client identifier according to the current tracking identifier; wherein the first fragment data is obtained by rewriting data corresponding to the first byte interval of the application resource package according to the current tracking identifier by the source station server.

The application provides a smart meridian therapy instrument, compared with the prior art, the smart meridian therapy instrument comprises an acupuncture module which is in contact with the skin of a patient to perform acupuncture, a data storage module which pre-stores relevant operation information of the acupuncture module, and an instruction generation module which drives the acupuncture module to automatically perform acupuncture treatment on the patient. The smart meridian therapy instrument of the application provides more efficient, safe and comfortable acupuncture treatment experience for the patient through its comprehensive, accurate and automatic design.

The invention belongs to the technical field of intelligent equipment, and discloses a menu generation method and system based on a deep learning model, existing menus in an existing menu set are preprocessed, and the preprocessed existing menus are classified by constructing a menu database, so that the simplification of cooking steps and the reliability of data can be guaranteed; then, the menu database can be subjected to expansion processing, data diversity and individuation of the menu database are guaranteed by generating a new menu, and richer data support can be provided for the deep learning model when the deep learning model is trained in combination with the menu database; then, food material data and seasoning data can be identified from the user information, the food material data and the seasoning data are input into the deep learning model to obtain a more accurate and personalized target menu, and the food material data and the seasoning data can be utilized to guarantee the rationality of each step in the target menu. And the personalized cooking requirement of the user is met.

The application provides a psychological support answer automatic generation method based on LLMs iterative correction, first constructs a seeker character image prompt, then carries out resource library retrieval according to the seeker character image prompt, and obtains a plurality of answers; uses LLMs to generate a corresponding strategy chain for each answer, and guides LLMs to select an optimal strategy chain therefrom; then generates an initial answer based on the optimal strategy chain; iteratively guides LLMs to discover the 'deficiency' information of the initial answer, and finally constructs a correction suggestion based on the 'deficiency' information of the initial answer to guide LLMs to generate a final answer. The application is based on retrieval enhancement, combines the psychological support strategy theory and the internal function of LLMs self-exploration and correction, constructs a dynamic and cooperative triple prompt framework, and guides LLMs to generate a high-quality answer with higher relevance and individualization.