16 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.

Methods, systems, and storage media for securely transmitting information are disclosed. Exemplary implementations may: receive a user identification token from a mobile device associated with a first user; verify an identity of the first user utilizing the user identification token; provide a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified; based on providing the positive response token, receive telematics data, the user identification token, and a timestamp from the mobile device associated with the first user; normalize the received telematics data; based on privacy settings derived from the mobile device associated with the first user, receive permission, from the first user, to share the normalized telematics data; and based on receiving permission, from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user.

The invention relates to a big language model training method and computer equipment. The large language model training method comprises the steps of obtaining a seed data set and a security rule set; the seed data set comprises abnormal user questions, positive response samples corresponding to the abnormal user questions and negative response samples corresponding to the abnormal user questions; obtaining a first positive reasoning sample and a negative reasoning sample based on the initial large language model according to the seed data set and the security rule set; and based on the first positive reasoning sample, the negative reasoning sample and the seed data set, constructing a first preference data pair, and training the initial large language model to obtain a trained large language model. By the adoption of the method, the problem that in the actual use process, when a user requires a large language model to output harmful content through prompt word guidance or external knowledge injection, the large language model cannot discriminate the intention of the user and cannot output the harmful content can be solved.

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.

The application provides a car machine Ethernet diagnosis method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining diagnosis transmission data, and establishing a transmission socket based on a sending address, a receiving address and a corresponding request message in the diagnosis transmission data. The header information of the transmission socket contains an identification field. The request message is sent to a car machine service end based on the transmission socket. If the car machine service end successfully receives and processes the request message, a positive response message is returned based on the transmission socket. If the car machine service end fails to successfully receive and process the request message, a negative response message is returned based on the transmission socket. Based on the identification field, a plurality of transmission sockets are screened. The transmission socket containing a target identification field is taken as a diagnosis socket. The transmission and reception message information of the diagnosis socket is recorded in a diagnosis log. The car machine Ethernet is diagnosed based on the diagnosis log. Through the method, the technical problem that the Ethernet diagnosis cost is high and not easy to carry is solved.

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 invention provides a reward prediction method and device, electronic equipment, a computer readable storage medium and a computer program product. The method is applied to artificial intelligence. The method comprises the steps of obtaining a first cue word sample, a positive response text corresponding to the first cue word sample and a negative response text corresponding to the first cue word sample, and performing reward prediction on the first cue word sample and the positive response text as well as the first cue word sample and the negative response text through a teacher model, the method comprises the steps of obtaining first reward information and second reward information, training a to-be-trained student model based on a first difference between the first reward information and the second reward information to obtain a trained student model, and performing reward prediction on a target prompt word and a response text corresponding to the target prompt word through the trained student model. And obtaining the target reward information. According to the invention, the generalization ability of the student model can be improved.

The application discloses a false positive reaction determination method in automatic pure tone hearing threshold test, and the method comprises the following steps: obtaining the reaction time range of the target tester by conducting a hearing threshold familiar test on the target tester; sequentially selecting a set hearing threshold test value to conduct a hearing threshold formal test on the target tester to obtain the reaction time corresponding to the current hearing threshold test value; judging the reaction time corresponding to the current hearing threshold test value based on the reaction time range; and adjusting the test process according to the judgment result. The application can obtain the normal reaction time range of the target tester by conducting a familiar test on the target tester, and provide data judgment support in the subsequent test process. In the subsequent test process, the target tester can be accurately judged whether to have a false positive reaction by judging and adjusting the test process, so that the test efficiency is improved and the reliability of the test result is increased.

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.

To enable enhancement of interest through positive responses.SOLUTION: A server device provided herein is configured to transmit information for classifying an image of a vehicle into a body and accessories of the vehicle to a terminal device, receive positive responses to the image itself or accessories from the terminal device, and determine the level of interest in the accessories computed according to the number of positive responses.SELECTED DRAWING: Figure 2

The invention discloses a method and a system for intelligently generating non-abandoned content for wine travel scenes, and relates to the technical field of intelligent content generation. Comprising the steps that identity recognition information of a target consumer is acquired, the identity recognition information comprises native place information and current residence place information, and identity information items are obtained; and based on the identity information item, creating a first feelings calculation formula, respectively calculating a native place feelings index and a current habitat feelings index of the target consumer, and obtaining a native place feelings item and a current habitat feelings item. According to the method, identity recognition information, including native places, residence places and the like, of target consumers is obtained, the dialect use frequency, residence duration, age and other factors are combined to calculate the feelings indexes, the preference feelings indexes are calculated according to consumption data, and the feelings indexes are sorted and stored in a database. The non-missing data which the consumers are most interested in can be accurately positioned as content recommendation items, and the propagation effect and the positive response of the non-missing data in the wine travel scene are improved.