9 results about "Positive response" patented technology

A system may receive first reference information. The system may generate synthetic conversation records using a first generative artificial intelligence (AI) model. The system may generate response pairs based on the synthetic conversation records, where each response pair includes a respective positive response in accordance with the first reference information and a respective negative response in disaccord with the first reference information. The system may train a first set of generative AI parameters based on the plurality of response pairs and may merge the first set of generative AI parameters with a second set of generative AI parameters to generate a merged set of parameters. The system may receive a query and may provide a response generated by generative AI based on the merged set of parameters.

The invention provides a calling method and system for automatic connection communication, electronic equipment and a storage medium, and relates to the technical field of communication. The call message is sent on each call frequency, and the qualified call frequency is further obtained according to the affirmative response message, so that automatic communication verification of each call frequency is realized, manual selection of the call frequency is avoided, and a user can be ensured to have a good communication verification effect under special conditions such as emergency or distress. And the automatic connection communication call can be smoothly completed, and the channel determination efficiency of the GMDSS is improved. According to the invention, the acknowledgement message is sent only after the specified number of call messages are checked to be qualified, so that the accuracy of the qualified call frequency is ensured, and the accuracy of ACS communication is further improved.

This application discloses a control method, apparatus, medium, and automotive diagnostic equipment for a diagnostic session, relating to the field of vehicle diagnostic technology. The method includes: when initiating a diagnostic session, obtaining at least one diagnostic task and ECU identifier associated with the diagnostic session; for each diagnostic task, querying the associated data block size in a preset mapping table based on its task identifier; sending a negotiation request message carrying the data block size to the target ECU; and, upon receiving a positive response message, continuously sending diagnostic task data to the target ECU using the data block size. This application overcomes the problem that traditional fixed block size modes cannot accommodate the differentiated requirements of different tasks in terms of throughput, real-time performance, and security by intelligently associating the data block size with the diagnostic task type and implementing dynamic negotiation, significantly improving diagnostic efficiency, bus utilization, and system adaptability.

A method for authentication of non-fungible tokens (NFTs) includes receiving a validation request for an NFT from an external platform including a smart contract identifier; calculating an authentication score for the NFT based on at least (i) wallet activity associated with a creator blockchain wallet identified based on the smart contract identifier, and (ii) a fraud score of the external platform; and if the calculated authentication score for the NFT is below a predetermined threshold value, transmitting a negative response message to the validation request indicating unsuccessful validation of the NFT, or if the calculated authentication score for the NFT is above the predetermined threshold value, transmitting a positive response message to the validation request indicating successful validation of the NFT and instructing the external platform to execute a smart contract associated with the smart contract identifier.

The invention provides an information transmission method and apparatus, and a sensing device. The method is applied to a first device, and comprises: sending first information for a sensing signal to a second device, the sensing signal being sent by the second device, the first information comprising at least one of the following items: a positive response; a negative response; sensing data, wherein the sensing data is obtained by analyzing the sensing signal; identification information of the first device; and identification information of the second device. According to the scheme of the invention, the second equipment can obtain the transmission condition of the sensing signal, so as to better control the transmission effectiveness of the sensing signal.

A system and method for recommending products are disclosed. The method includes: receiving financial data associated with an account of a user; analyzing the financial data to determine a residual amount in the account of the user; recommending, using a recommendation engine, at least one product along with an associated confidence score to the user; receiving user feedback that relates to the recommended at least one product; generating a set of tasks associated with the recommended at least one product upon reception of a positive response from the user; and executing, using an action engine, the set of tasks associated with the recommended at least one product.

The application relates to a poison detection method of a large language model and relates to the technical field of artificial intelligence. The method comprises the following steps: determining a current activation value anomaly detection result of the large language model according to activation value time sequence evolution information and activation value distribution offset information of a first target neural network layer in the large language model at a current training step; determining a current semantic anomaly detection result of the large language model according to neighborhood distribution information of a current batch of training samples in a semantic space corresponding to the current training step; each training sample in the current batch of training samples comprises prompt information, positive response information corresponding to the prompt information and negative response information corresponding to the prompt information; and fusing the current activation value anomaly detection result, the current semantic anomaly detection result and a current meta-learning anomaly detection result of the large language model to obtain a current poison detection result of the large language model at the current training step. The method can reduce the hysteresis of poison detection.

The invention relates to a remote surgical robot system and an equipment interconnection method thereof. The method comprises the steps of sending a first request to a server in response to triggering of a first control; displaying the received second equipment information associated with the first request; target second equipment information of target second equipment determined based on the second equipment information is acquired, and a pairing request is sent to the server; receiving device network information of the target second device sent by the server when the server obtains a positive response to the pairing request; and establishing pairing with the target second equipment based on the equipment network information so as to realize direct communication with the target second equipment. And when one of the remote doctor console and the patient operation platform initiates a pairing request and the other initiates a positive response to the pairing request, the server sends the device network information of the opposite-end device to at least one of the devices initiating and accepting pairing so as to establish pairing, so that the pairing efficiency can be improved, and the user experience is improved. And the doctor can conveniently find the patient or the patient.

The invention discloses a method, system and device for reading specific ECU data and a storage medium, belongs to the technical field of automobile electronic control, and solves the technical problem of DID compatibility between different diagnostic apparatuses. The method comprises the following steps: implanting a DID mapping manager in a diagnosis layer or a service layer of an ECU software architecture, and creating a DID mapping table; the diagnosis layer or the service layer is initialized, and the DID mapping table is loaded into an RAM; the diagnostic communication stack of the ECU receives a 22 [DIDH] [DIDL] data reading request of an external diagnostic instrument; the DID mapping manager intercepts the request, extracts the DID of the request, and queries in a mapping table; if the mapping relation is found, obtaining an actual DID; if the mapping relation is not found, regarding the requested DID as an actual DID; obtaining original data corresponding to the actual DID; and constructing a positive response frame 62 according to a UDS protocol and sending the positive response frame 62 to the external diagnostic apparatus, thereby perfectly solving the problem of DID mismatching between the Yuchai diagnostic apparatus and equipment such as a national vehicle quality inspection center diagnostic apparatus and the like.