198 results about "First class" patented technology

A computer acquires training data including first text, first class information indicating a class mapped to a single word contained in the first text, first position information indicating a position of the single word in the first text, and first range information indicating a range of a first named entity that includes the single word in the first text. The computer executes, based on the training data, machine learning of a machine learning model which is used to estimate, from text, class information, and position information, range information of a named entity included in the text.

The invention provides a keyword generation model training method, a keyword generation method and a related device, and relates to the technical field of artificial intelligence, in particular to the technical field of large models, keyword generation and the like. The specific implementation scheme is as follows: constructing a first fine tuning instruction based on a first type of samples; the first type of samples comprise a first search sample and a first type of word set comprising at least one first keyword; wherein under the condition that the resources are searched based on the first search sample, the resources expressed by the first keyword at least meet partial search requirements of the first search sample; constructing a second fine tuning instruction based on the second type of samples; the second-class sample comprises a second search sample and a second-class word set comprising at least one second keyword, and the second search sample and the second keyword are constructed based on a preset association relationship; and performing cross training on the initial large model based on the first fine tuning instruction and the second fine tuning instruction to obtain a keyword generation model.

A control section is a control section that controls combined printing of a plurality of documents and includes: a first setting processing section configured to set, in regard to a first setting item, which is a setting item included in a first category, from among a plurality of setting items defining content of processing to be performed on the documents, a setting value of the first setting item of any one document from among the plurality of documents for the first setting item of each of the plurality of documents; and a second setting processing section configured to set, in regard to a second setting item, which is a setting item included in a second category that is different from the first category, from among the plurality of setting items, a default value of the second setting item for the second setting item of each of the plurality of documents.

This application provides a code digest generation method, model, apparatus, medium, and device, relating to the field of artificial intelligence technology. The method includes: determining an application programming interface (API) information graph corresponding to the code to be processed, wherein the node types in the API information graph include: a first type, and at least one of a second type and a third type, wherein the associated information of the first type of nodes is the application programming interface, the associated information of the second type of nodes is variables, and the associated information of the third type of nodes is API description information; encoding the API information graph to obtain API encoding features of the code to be processed; and determining a code digest of the code to be processed based on the API encoding features and target features of the code to be processed, wherein the target features include: source code encoding features corresponding to the code to be processed, or source code encoding features and AST encoding features corresponding to the code to be processed. This application embodiment can improve the semantic integrity of the code digest.

The embodiment of the specification provides a method for generating a contract knowledge graph, comprising: inputting each paragraph contained in a contract text into a large model respectively, and making the large model extract a first type of entity corresponding to a clause element. Inputting any first entity belonging to the clause element and a target paragraph to which the first entity belongs into the large model, and making the large model analyze the first entity based on the target paragraph to obtain a second type of entity corresponding to a clause description. Based on the first type of entity, the second type of entity and a third type of entity corresponding to a single paragraph, a multi-level contract knowledge graph is generated. The root level of the contract knowledge graph corresponds to the first type of entity, and in each level, in addition to the connection between the corresponding entities of adjacent levels, the corresponding entities in the root level are also connected.

The application discloses a software development package compiling method and device, and relates to the technical field of computers. A specific implementation of the method comprises the following steps: performing encapsulation based on a second programming language on a first type of module of any core component in a software development package, extracting a header file of the first type of module and a header file of a second type of module after the encapsulation to generate a common umbrella header file of the core component; and after compiling core component source code and upper layer component source code in the software development package into an executable file, processing the common umbrella header file of any core component in the software development package, so that the common umbrella header file only contains declaration content configured in advance for the core component. The implementation can effectively reduce the risk of core code leakage.

A storage controller (for example, a storage control unit 123) can execute log creation processing of, when a write request is processed and control information or cache data is updated, adding a header to the updated data to create an update log and storing the update log in a log buffer. In the log creation processing when first-type control information (normal control information) is updated, the storage controller adds a log header to each piece of updated first-type control information to create an update log (normal log 132), and in the log creation processing when second-type control information (cache directory) is updated, the storage controller creates one consolidated log (consolidated log 137) as an update log related to a plurality of pieces of second-type control information.

The invention provides a question reply method and device and electronic equipment, and relates to the technical field of artificial intelligence such as human-computer interaction, natural language understanding, large models and light weight. The method comprises the steps of obtaining a to-be-processed question input by a user in a current session; a plurality of alternative models associated with the to-be-processed problem are utilized to process the to-be-processed problem in parallel to obtain a plurality of candidate replies, the alternative models comprise at least one first-class model and at least one second-class model, and the parameter scale and / or single call cost of the first-class model are / is lower than that of the second-class model; determining a target model in the plurality of alternative models according to behavior information of the user for the plurality of candidate replies; and during the duration of the current session, generating corresponding reply contents for the input subsequent questions by using the target model. According to the method, the target model conforming to user preferences can be rapidly and clearly determined by simultaneously presenting the behavior information of the multiple candidate replies to the multiple alternative models by the user, and the interaction turns and the clarification cost are reduced.

In an implementation, a data storage method comprises obtaining a write request by a processing apparatus, where the write request includes first data to be written. Determining based on at least one of an access feature and a service requirement of the first data, a first category of the first data at a current moment; and indicating the storage apparatus to store the first data in a first type of storage unit. The first category indicates a programming rate requirement of the first data, and the first type is determined based on the first category.

The application relates to the field of computer data processing and discloses a traffic automatic playback method for software testing, which comprises the following steps: obtaining software traffic data and obtaining data packets and time intervals in the software traffic data; according to interval values and time sequence distribution relationships of the time intervals, a first category is obtained through multi-threshold segmentation, a third category is obtained through threshold segmentation of the first category, and all intervals except the third category in a time interval sequence are classified into a fourth category; a first compression rate of each interval in the fourth category is obtained, and a second compression rate of each interval in the third category is obtained; a correction coefficient is obtained according to the number of elements of the first category to which each interval in the fourth category belongs and packet values of adjacent data packets, and a third compression rate is obtained; and the traffic data is compressed and automatically played back according to the obtained compression rates. The application aims to solve the problems that the existing equal compression of time intervals between data packets leads to packet loss and large differences between traffic data before and after compression.

This application discloses an information processing method, apparatus, device, storage medium, and computer program. The method includes: when a collaborative document in a first state contains a first atomic operation and a second atomic operation, obtaining the tree structure corresponding to the collaborative document; updating the collaborative document from the first state to a second state based on the tree structure according to the operation intent expressed by the first atomic operation; wherein the first atomic operation includes a first type of operation among N predefined atomic operations in the tree structure, and the first type of operation is an operation that can be split into two or more atomic operations; performing intent restoration transformation on the operation intent expressed by the second atomic operation according to the operation intent expressed by the first atomic operation to obtain a transformed operation intent; and updating the collaborative document from the second state to a third state based on the tree structure according to the transformed operation intent. Using this application embodiment can improve the accuracy of conflict handling.

The invention provides a method for detecting security risks of firmware and related equipment. The method comprises the following steps: acquiring an in-firmware partition mirror image of first firmware; according to the partition mirror image in the firmware, obtaining files in the partition mirror image, file type information of the files in the partition mirror image and pseudo code files of the files in the partition mirror image; and determining a first type engine matched with the pseudo-code file based on the file type information, and performing security risk detection on the pseudo-code file through the first type engine. According to the method for detecting the security risk of the firmware and the related equipment, source-code-free deep semantic analysis is realized, so that a more accurate security risk detection result can be obtained.

The present disclosure provides an information processing method, device, equipment, storage medium and computer program product, relates to the technical field of computers, and particularly relates to the field of software development. The specific implementation scheme is as follows: acquiring at least one item of information in file information and version information of a specified version in a remote version library; archiving the at least one item of information to obtain an archiving package of the specified version; the type of the archiving package of the specified version is a first type or a second type, the archiving package of the first type carries the file information of the specified version, and the archiving package of the second type carries the file information and the version information of the specified version; sending the archiving package of the specified version to a third-party storage system; and the third-party storage system is used for storing the archiving package. The technical scheme of the present disclosure can archive at least one item of information in the file information and the version information of the specified version in the remote version library and store the information in the third-party storage system, so as to reduce the read-write pressure of the remote version library and improve the overall read-write performance and throughput.

The embodiment of the invention provides a database garbage collection method and device, a medium and electronic equipment, and relates to the technical field of data processing. The method comprises the steps that a first transaction is determined in a first type of transactions of a target tuple, the first type of transactions are active transactions with the query cost smaller than or equal to a first threshold value, and the first transaction is at least one transaction with the minimum first interval value of a read view interval in the first type of transactions; determining a second transaction in a second type of transactions of the target tuple, the second type of transactions being active transactions of which the query cost is greater than a second threshold, and the second transaction being at least one transaction of which the second interval value of the read view interval is maximum in the second type of transactions; determining a transaction identification interval according to the read view interval of the first transaction and the read view of the second transaction; a version of the target tuple within the transaction identification interval is retrieved. According to the scheme provided by the embodiment of the invention, the influence on the transaction throughput in a mixed transaction analysis processing scene can be reduced, and meanwhile, the calculation overhead is relatively low.

To improve a player's desire to play.SOLUTION: The information processing program causes a computer to execute a process of allowing a player to input a selection operation for a first type command in a provisionally chosen state for which a provisionally choosing operation has been input and a plurality of second type commands that can activate a utility related to any of the first type commands, a process of identifying a second type command that can activate a utility related to the first type command in the provisionally chosen state, and a process of displaying the second type command identified for the first type command in the provisionally chosen state in an identifiable manner.SELECTED DRAWING: Figure 74

The invention discloses an information association method and device, a storage medium, electronic equipment and a program product, and relates to the field of financial science and technology, and the method comprises the steps: carrying out the anonymous processing of metadata of a first type of entities and a second type of entities; analyzing the anonymous metadata by using a graph neural network, and determining a target implicit relationship network between the first type of entities and the second type of entities according to an analysis result, the target implicit relationship network being used for representing an association relationship between the first type of entities and the second type of entities; generating an entity service path on the basis of the target implicit relation network according to accounts corresponding to the first type of entities and the second type of entities; and updating the target implicit relationship network according to the entity service path to obtain a target association network corresponding to the first type entity and the second type entity. The technical problem that in the prior art, due to the fact that a financial institution is difficult to effectively recognize and utilize the incidence relation between different entities, the personalization of service contents generated for the different entities is low is solved.

The invention provides a large model, knowledge base and tool set ternary fusion method for complex reasoning and decision making in the vertical field. The method comprises the steps that a large language model generates a workflow comprising task nodes according to a target task; for task nodes in the workflow, if the task type of the task nodes is a first type, the large language model calls a preset knowledge base and retrieves related domain knowledge; if the task node is the second type, the large language model calls a corresponding special tool in the preset tool set to execute the node, and an execution result is obtained. And generating a final decision of the target task based on the obtained domain knowledge or tool execution result. According to the method, a complex task is decomposed into workflow nodes with clear types, and a big language model dynamically dispatches a knowledge base and a special tool to process different tasks respectively, so that the reasoning process is established on the basis of reliable domain knowledge and tool output, the illusion problem of the big language model is effectively inhibited, and the reasoning efficiency is improved. And the accuracy and reliability of the final decision are obviously improved.

To provide a game system or the like capable of rationally setting the price of a game element according to the convenience of each of a server side agent and a client side agent.SOLUTION: In a game system including a game machine 3B for determining a price to be charged to a user on the basis of price setting data DR in which game elements and prices are recorded in association with each other, a price related to a game element classified into a first class C1L among a plurality of game elements is set on the basis of a setting operation of a manager on a shop system 10 side, and a price related to a game element classified into a second class C2L is set on the basis of a setting operation of the manager on a server system 20 side so as not to be overlapped with the game elements classified into the first class C1L.SELECTED DRAWING: Figure 2

The invention is suitable for the technical field of testing, and provides an experience generation method and a test script verification method and device.The method comprises the steps that target experience features and logic attributes associated with the target experience features are determined based on selection operation in an experience input interface; generating empirical data based on the target empirical features and the logic attributes associated with the target empirical features, the empirical data being used for verifying a test script; wherein the experience input interface provides a first type of control and a second type of control, the first type of control provides a function of inputting a target experience feature, and the second type of control provides a function of selecting a logic attribute associated with the target experience feature from a plurality of candidate logic attributes; the logic attribute is used for representing a logic relation of the related target empirical features. Through the method, the accuracy of the generated empirical data is improved.

This application provides a method and apparatus for loading a compatible switch database, relating to the field of communications. The method includes: obtaining a target database field and determining the database field type corresponding to the target database field according to rules; if the target database field is a first-type database field, checking in the configuration database to see if the first-type database field can be found; if found, loading normally; if not found, searching for a third-type database field and selecting to load the function configuration of the third-type database field; if the target database field is a second-type database field, checking in the configuration database to see if the second-type database field can be found; if found, loading normally; if not found, loading the corresponding default value in the default database as the function configuration corresponding to the second-type database field. This application solves the problem that existing switch database loading systems may cause device startup failures or the loss of existing user configurations after device startup.

The invention provides a data fragment copy deployment method, a data fragment copy deployment device, a medium and electronic equipment, in the method, a copy combination which is subjected to co-occurrence access in a historical transaction execution process can be determined by obtaining access time delay among data centers and historical transaction execution records of the data centers. On the basis, each data fragment copy contained in a high-frequency co-occurrence first-class copy combination is deployed in the same data center, and each data fragment copy contained in a low-frequency co-occurrence second-class copy combination is deployed in each data center of which the network delay is as small as possible. According to the method, the target data center of each data fragment copy is determined, and each data fragment copy is redeployed to the corresponding target data center, so that the localized access proportion of the high-frequency transaction is improved, and the overall execution efficiency of the distributed transaction is improved.

The invention provides a data processing method, device and system, a storage medium and a program product, and relates to the field of data processing. The data processing method comprises the following steps: acquiring data in a building automatic control system; classifying the data to obtain a first type of data and a second type of data, the first type of data being data used for participating in equipment operation control in real time, and the second type of data being data except the first type of data; in response to the fact that the network state is an abnormal state, the first type of data is sent to a digital base, the second type of data is cached, and the cached second type of data is complementarily transmitted to the digital base under the condition that the network state is recovered to the normal state.

This disclosure provides a method, apparatus, electronic device, and readable medium for managing applications. The application management method includes: determining whether a user's access permission is a first-class or second-class access permission based on login information; displaying relevant application information to the user's front-end interface based on the access permission type; and developing the application or providing corresponding API interfaces based on user requests on the front-end interface. Through these embodiments, the security, reliability, management efficiency, and development efficiency of applications are improved.

The application provides a natural language-based public opinion tracking method and device, obtains original Internet public opinions including multiple public opinion samples according to a target theme; obtains a label list of each public opinion sample based on a label library corresponding to the target theme and a title and content of each public opinion sample; classifies the label list of each public opinion sample based on the label library and a keyword corresponding to the target theme, and obtains first-class samples associated with the target theme; labels corresponding key information labels for each first-class sample based on the label library, and obtains an event occurrence time of each first-class sample; aggregates all first-class samples into one or more public opinion sets according to the key information labels and the event occurrence time, and tracks public opinions of each public opinion set. The application can alleviate the problems of key information loss and complex processing in the existing public opinion processing mode.

The invention provides a data processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a data updating instruction; wherein the data updating instruction comprises storage data, the storage data comprises at least one data field, and the category to which the data field belongs comprises a first category or a second category; the data field comprises a first field belonging to a first category or a second field belonging to a second category; in response to the data updating instruction, determining and updating a target database corresponding to the data field based on the storage rule and the category to which each data field belongs; wherein the target database comprises a first database and / or a second database, and the storage rule is used for indicating that the first database preferentially processes the first field and the second database preferentially processes the second field. Through the method and the device, the problem of collaborative management of different types of data in a complex service scene can be effectively solved.

A data lightening method is disclosed. The data lightening method according to one embodiment of the present disclosure may comprise the steps of: embedding each piece of data included in a dataset; determining a support vector of a first class and a support vector of a second class on the basis of the distance between each of the pieces of embedded data; determining a decision boundary on the basis of the support vector of the first class and the support vector of the second class; and determining a first easy sample (ES) farthest from the decision boundary from among the embedded data included in the first class and a second ES farthest from the decision boundary from among the embedded data included in the second class.

The invention relates to the technical field of computers, and discloses a service pack generation method, a readable storage medium, a program product and electronic equipment. In the method, the electronic equipment can compare contents of at least one first type of section in a first compiling file obtained by compiling and optimizing an original code file with contents of at least one first type of section in a second compiling file obtained by compiling and optimizing the original code file; and determining different section segments (such as a difference function, a correlation function of the difference function, read-only data associated with the difference function / the correlation function of the difference function, exception handling information and the like) which have differences relative to the first type of sections of the first compiled file in the first type of sections of the second compiled file. Finally, the electronic device may generate a service pack based on the determined difference section segments. In this way, the service pack does not need to store the segment fragment, which is the same as the first type of segment of the first compiled file, in the first type of segment of the second compiled file, and the data size of the service pack can be reduced.

An apparatus and method for dynamic generation of visual elements in a user-interface. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a first entry and a second entry of a plurality of log data, categorize the first entry into at least a first category of a first plurality of categories and the second entry into at least a second category of a second plurality of categories, generate key entries, assign a first score to the first entry and a second score to the second entry as a function of key entries, dynamically generate a first dashboard, modify the first dashboard based on the score of a second entry to produce a second dashboard comprising a second plurality of categories associated with at least a second visual element, display the second dashboard.

The embodiment of the present disclosure relates to a method for training a video recommendation model, comprising: obtaining a feature sample training set and a feature sample test set according to video-related features and user-related features; training a preset model according to the feature sample training set to obtain a prediction model, predicting the feature sample test set through the prediction model to obtain a first-class feature prediction index value set; predicting the feature sample test set through an evaluation model to obtain a second-class feature prediction index value set; comparing N second prediction index values in the second-class feature prediction index value set with corresponding first prediction index values in sequence, screening the second-class features with second prediction index values smaller than the corresponding first prediction index values in the second-class feature prediction index value set to form a feature set; training a video recommendation model by using the feature set, and determining feature identifiers of training features according to the feature set with the second prediction index values smaller than the first prediction index values; and improving the accuracy of the video recommendation model recommendation.