2426 results about "Application procedure" patented technology

Technology is disclosed herein for the integration of spreadsheet environments with LLM services. In an implementation, an application service receives a natural language input from a user associated with a spreadsheet hosted by a spreadsheet application. The application service generates a prompt based on the natural language input which includes asking a large language model (LLM) service to classify a statement in the input as referring to one of multiple capabilities of the spreadsheet application. The application service inputs the prompt to the LLM service and receives an output from the LLM service which identifies a determined one of the multiple capabilities. The application service generates a revised prompt based on the input and the determined one of the multiple capabilities and inputs the revised prompt to the LLM service.

A database query processing method includes receiving a natural language request for information contained within a database from a user in an application session, prompting a large language model to generate a SQL request, and receiving a particular SQL request from the large language model that is parsed to identify a command to access one or more database structures. A security predicate is appended to the command, creating a modified SQL request, to enforce one or more database access constraints constraining a user-authenticated client device that submitted the request that is not enforced in a database session between the application and a database. The modified SQL request is used to access data in the database session, and a visualization of the accessed data is caused to be displayed in the application session.

The invention discloses a large language model agent security test method and device based on a model context agreement, and the method comprises the steps: firstly deploying a test tool in a test server, defining an application program interface which comprises function parameters and test probe parameters, describing the test probe parameters as necessary technical requirements for executing nominal functions, and executing the nominal functions according to the test probe parameters; and inducing the tested LLM agent to transmit complete session context data when calling. The test server receives a tool call request including a function parameter value and session context data, a back-end concurrently processes the request, executes a nominal function to generate a benign result, and extracts the session context data at the same time. Afterwards, a benign result is returned to the tested LLM agent, and the extracted data is asynchronously transmitted to a remote log server for recording as a test log. And finally, comparing the test log with the actual operation history, judging whether a session context data leakage vulnerability exists or not, and quantifying the severity level so as to detect whether the LLM agent leaks session memories such as the user interaction history or not.

The invention relates to the technical field of computers, and discloses a user role and authority management method, system and device and a storage medium, and the method comprises the steps: accessing multi-source data, carrying out the preprocessing, and constructing a context snapshot; receiving request information, and analyzing a user intention; based on the context snapshot and the request context, reasoning, dynamic role affiliation judgment, authority demand assessment, risk assessment and decision suggestion output are carried out through a large model; the decision suggestion is converted into an executable technical instruction so as to dynamically adjust the user permission, the technical instruction comprises application program interface calling, configuration changing or strategy rule updating, and user permission adjusting comprises role distribution and permission granting or revocation; and in response to an execution result of the received technical instruction, a user behavior and an audit log, analyzing a decision effect, identifying a decision deviation, and optimizing the large model through a feedback learning mechanism. According to the invention, the flexibility, safety and efficiency of authority management can be improved.

The invention discloses a solution for intelligent low-code construction and automatic deployment of a multi-terminal application full stack, belongs to the technical field of software development, and solves the problems that an existing low-code development platform is high in use threshold, does not support customized development and is disjunction in application construction and application use. The invention provides an intelligent low-code construction platform. The intelligent low-code construction platform comprises a low-code construction platform, an application rendering unit, an application deployment unit and a display interaction unit, the low-code construction platform is used for constructing a plurality of application pages according to the developer personalized configuration information, and associating the plurality of application pages according to set association logic information among the plurality of application pages to obtain an application program; generating application data according to the application program, and storing the application data; the page cross-end rendering unit is used for performing Web end and App end rendering on the application program according to a defined page rendering protocol to obtain a Web end application and an App end application; and the display interaction unit is used for displaying the interaction function and the application logic of the Web end application and the App end application.

Embodiments described herein related to systems and methods for generating comments in a page of a content collaboration platform. In some examples, the user interface of the platform is configured to display a page within a content region. The content region includes a comment control that, upon user selection, causes a prompt to be generated and submitted to a generative output engine via an Application Programming Interface (API). The prompt may include a portion of the content selected by a user and user-specific data, such as a user role. This data is used as context to the prompt alongside a predefined query. The output from the generative output engine may be used to generate a set of suggested comments, which are displayed in a comment interface within the content region of the content collaboration panel.

Apparatuses, systems, and techniques to facilitate graph code synchronization between application programming interfaces. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause graph code to wait on a semaphore used by another API.

The invention discloses an access request verification method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring an access request sent by an application program; the verification operation is executed on the access request based on a zero-knowledge proof circuit, a verification character string is generated, the zero-knowledge proof circuit comprises a plurality of arithmetic gates, the zero-knowledge proof circuit is determined through permission constraint conditions, and the permission constraint conditions are used for indicating the access permission of the application program; the verification character string is used for indicating whether the access request is allowed to respond. The technical problem that the verification efficiency is low due to the fact that the verification process of the access request is complex is solved.

The invention relates to the technical field of operation and maintenance, and provides an operation and maintenance operation processing method and device.The method comprises the steps that a natural language description text input by a user in a dialogue interface is obtained; performing intention recognition on the natural language description text to extract an operation and maintenance operation type and a parameter list related to the operation and maintenance operation type from the natural language description text; and calling an application programming interface corresponding to the operation and maintenance operation type based on the operation and maintenance operation type and the parameter list so as to execute the corresponding operation and maintenance operation. Compared with the prior art, a user does not need to input an instruction format, and the function of completing operation and maintenance operation processing through natural language description is achieved through intention recognition of the natural language description text.

Methods and systems for generating live digital documents are provided. The method includes receiving a static document file including human-readable data. Then, parsing the static document file into a plurality of subunits. Then, generating a sharable document splice of the static document file. The sharable document splice includes access to a subset of the plurality of subunits, and the access is provided through an Application Programming Interface (API) or Software Development Kit (SDK) endpoint for each subunit in the subset. Then, executing a digital thread script to generate the live digital document from the sharable document splice and an input digital model representation, using API or SDK endpoints in the sharable document splice. The live digital document is configured through the digital thread script to reflect changes in the input digital model representation. Finally, adding execution metadata for the execution of the digital thread script to the live digital document.

Methods, systems, and devices for unifying multiple identity clouds are described. A first platform determines information for an application with multiple capabilities. The information is usable by a second platform for configuring the capabilities via the first platform. The first platform may communicate the information to the second platform via an application programming interface (API). The second platform may obtain a request to configure the application for an account associated with a user of the second platform. In response to the request, the first platform may authenticate the user in accordance with an authentication flow of the application. As a result of the authentication flow, the first platform may obtain a user credential associated with the user and an indication to grant the second platform access to an API credential that is associated with permissions for configuring the capabilities in the application via the first platform.

The invention provides a watermark processing method and device, watermark processing equipment, a program product and a medium, and relates to the technical field of privacy computing. The method comprises the following steps: acquiring first data which is requested to be input into a target model by a user through an application programming interface (API); aiming at the first data, judging whether watermarking processing needs to be carried out or not; when it is determined that watermark processing needs to be carried out, based on a backdoor function corresponding to the target model, an API response corresponding to the API request is generated according to the first data, and the backdoor function is constructed according to a decision function of the target model; the API response is output to the user, the first data is added to a trigger set corresponding to the target model, and the trigger set is used for verifying an alternative model of the target model. According to the scheme of the invention, the problem that the existing digital watermarking technology is difficult to effectively defend model extraction attacks initiated through an API (Application Program Interface) is solved.

To improve the usability of application programs. [Solution] A program including a first application program for communicating with a communication device, which causes a computer of an information processing device having an operating system to execute: an acquisition step in which the first application program acquires a password for an access point outside the information processing device and outside the communication device, which is managed by a second application program different from the first application program, via the file sharing function of the operating system called by the second application program; and a first transmission step in which the first application program transmits connection information, including the password acquired via the file sharing function of the operating system, to the communication device.

The invention provides a construction log generation method based on an intelligent agent and a large model. The method comprises the following steps: 1, constructing a multi-source heterogeneous data acquisition layer: automatically acquiring required original data from a built-in interface, an external application programming interface, Internet of Things equipment and a manual input channel through the intelligent agent; 2, establishing a data preprocessing and structuring layer: processing unstructured data by using an AI technology, extracting key information, and packaging the key information into a standardized data unit; 3, constructing a domain model of precise construction terms and log styles; 4, generating a log first draft by the large model; 5, man-machine collaboration auditing and optimizing, wherein a man-machine collaboration interface is provided for engineers to audit, correct and confirm the generated log first draft; and 6, based on manual feedback, establishing an optimization closed loop, and carrying out continuous iterative optimization on data acquisition, a preprocessing rule, a cue word template or a large model. According to the method, full-automatic acquisition is realized, various data sources are automatically docked through the intelligent agent, and manpower is thoroughly liberated.

The invention discloses a satellite-borne equipment embedded system software on-orbit reconstruction method and a satellite-borne equipment embedded system. The method comprises the following steps: partitioning a FLASH memory of a microcontroller of satellite-borne equipment into a region, a BootLoader boot program region and an application program storage region; an independent BootLoader bootstrap program is solidified in the BootLoader bootstrap program area in advance; receiving a program file subpackage from a satellite service computer during on-orbit operation; a two-stage reliable transmission protocol including sequential receiving and packet supplementing receiving is adopted to receive a program file, wrong and missing packets are received and dynamically recorded in the sequential receiving stage, and only the wrong and missing packets are selectively retransmitted in the packet supplementing receiving stage; according to an instruction of the satellite service computer, the received complete program file is verified, the program file is written into the application program storage area after passing the verification, updating is completed, the BootLoader bootstrap program jumps to the updated application program, and on-orbit reconstruction is completed.

Apparatuses, systems, and techniques to perform an application programming interface (API) to cause configuration information of one or more radio units to be stored. In at least one embodiment, configuration information is obtained based, at least in part, on one or more values received from at least one of said radio unit(s) and said configuration information is used to enable communication between said radio unit(s) and one or more distribution units.

To more flexibly achieve electronic settlement.SOLUTION: Causing a display unit of the terminal to display an online code image generated using a one time code acquired from a settlement server through communication when a state of the settlement server is a first state in which the state of the settlement server is normal, and causing the display unit of the terminal to generate an offline code image using an offline key acquired from the settlement server at a lower frequency than the one time code when the state of the settlement server is a second state in which the state of the settlement server is not normal; A process of displaying the offline code image on a display unit of the terminal.SELECTED DRAWING: Figure 1

The invention discloses a task execution method and device, electronic equipment and a storage medium, and relates to the field of computers, in particular to the field of artificial intelligence such as cloud platforms. The specific implementation scheme is as follows: in response to a detected trigger operation on a target function of an application program, determining a first candidate path from a directed acyclic graph according to a dependency relationship between tasks in the directed acyclic graph of the target function; wherein the directed acyclic graph represents a dependency relationship and an execution sequence among a plurality of tasks split by the target function; determining a target path from the first candidate paths according to the weight information of the dependency relationship in the first candidate paths; wherein the weight information is used for indicating the weight of the execution cost of the task pointed by the dependency relationship in the first candidate path; and according to the execution sequence of the tasks in the target path, sequentially executing the tasks in the target path to obtain function response information corresponding to the target function.

Techniques for recognizing applications, screens, and UI elements and for recognizing user interactions and / or AI agent interactions with the applications, screens, and UI elements using agentic artificial intelligence (AI) are disclosed. An AI model may facilitate such recognition without other system inputs, such as system-level information (e.g., key presses, mouse clicks, locations, operating system operations, etc.) or application-level information (e.g., information from an application programming interface (API) from a software application executing on a computing system).

A method for generating an application program according to an embodiment disclosed herein includes inputting a natural language command through a developer input interface from a developer who develops the application program, inputting the input natural language command into a predetermined language model, acquiring predetermined output information generated by the language model in response to the input of the natural language command, and generating a source code or an execution code of the application program using the acquired output information.

Systems and methods for using machine learning to predict tests for testing application programming interface updates. The system receives a prediction request to predict one or more tests for testing a candidate update to an application programming interface, wherein the prediction request comprises an indication of the application programming interface. The system may determine, using the indication of the application programming interface, a plurality of parameters associated with the application programming interface and obtain, based on the plurality of parameters using a machine learning model a prediction of a plurality of tests to be executed for the candidate update to the application programming interface. The system may determine, a first subset of the plurality of tests enabled to be executed without user input and cause the first subset of the plurality of tests to be executed without the user input.

An application scheduler can schedule an execution of a software application based on compliance with a safety standard and an availability of system resources. The application scheduler can determine, based on a software inventory, that the software application is associated with the safety standard. The software inventory can include metadata corresponding to the software application. The application scheduler additionally can determine, based on the metadata of the software inventory, a set of system resources used to execute the software application. Subsequently, the application scheduler can schedule an execution of the software application based on the availability of the set of system resources.

Intent-based automation that discovers automatable tasks and / or determines task variants in data is disclosed. Task capture data may be utilized to determine task variants in task mining data. Semantic understanding of user actions by artificial intelligence (AI) / machine learning (ML) model(s), for example, may be applied to determine the intent of the user rather than only focusing on what actions the user is performing on the computing system. Application logs and semantic understanding may be used to facilitate a more accurate determination of what the user actually intends to do. Task capture for individual user flows may be performed. Once these are captured, task capture algorithms and AI / ML models are used to determine which parts of the flows are similar and / or match and which parts are unique. The path through these flows can then be followed to build a process graph that includes decision points representing the unique flows.

Arrangements for optimizing software performance through generative artificial intelligence are provided. Execution data associated with a user interacting with an application programming interface through a user interface on a computing device may be received. Trace data based on the execution data may be generated. The trace data may indicate that a performance of an application is degraded. One or more performance prompts specifying program behavior may be generated. Application source code and the performance prompts may be sent to an artificial intelligence engine for performing key performance indicator driven code analysis. The one or more performance prompts may have been executed in the artificial intelligence engine for pretraining a large language model. Optimized source code may be received from the artificial intelligence engine. Performance testing may be executed on the optimized source code. An action may be performed to address the performance of the application.

Method, device and computer program product for wireless communication are provided. A method includes: transmitting, by an application function to a first application server, a tunnel ready notification to allow the first application server to transfer an application layer traffic to a second application server via a tunnel between a first local user plane function for the first application server and a second local user plane function for the second application server.

Monitoring the usage of an application by a user, including: determining, for the user and based on data describing usage of the application by the user, an access pattern of the application; and restricting, without modifying the one or more access policies that control access to the application for additional users, access to the application by the user, including implementing an approval workflow for accessing the application one or more steps that, if completed, allows access to the application by the user, wherein the approval workflow is implemented by an intermediary between a user device and the application.

A computer-implemented system is disclosed which enhances legal research by utilizing a first user interface (UI) to receive search criteria as text prompts from users, which are then processed by an application program interface (API) across an electronic connection. The system includes an instruction base for expanding the prompts into snippets for a machine learning network, which defines the legal database searches. The process further refines the prompts through a transformation module, breaking down and tagging the text for compatibility with the machine learning network. Coupled with non-transitory computer memory, the system efficiently outputs results in response to the applied search criteria. A second interactive UI displays these results and allows for user interaction to delve into detailed information, optimizing the legal information retrieval process. Also disclosed is a method for processing legal research queries enhanced by a machine learning network.

The invention discloses a middleware-based cloud rendering method and a middleware system, and relates to the technical field of cloud rendering, and the middleware-based cloud rendering method comprises the following steps: creating an application instance, loading the application instance to a cloud rendering platform system, and starting a three-dimensional rendering task; a three-dimensional rendering task is scheduled and allocated through a resource management and scheduling module of the cloud rendering platform system according to the resource use conditions of the load and the server; receiving a three-dimensional rendering task through middleware, and transmitting three-dimensional rendering data of the three-dimensional rendering task between a client and a Web server through a two-way communication module of the cloud rendering platform system to realize real-time communication; and under the condition that the three-dimensional rendering task is finished, waiting for a next rendering task instruction. According to the method, the resource management and operation and maintenance process in the containerized environment can be effectively optimized, and the expandability, stability and usability of the system are improved.

In modern industrial environments, there may be numerous independent applications deployed throughout a facility, all performing different tasks, gathering different data, and communicating data and control information among one another. For example, this may include industrial control, quality control, work instructions, training, oversight, and so forth. Against this backdrop, an AI system is trained with a large language model to assist in characterization of new applications, in order to support administration and management of the software infrastructure for a facility.

Apparatuses, systems, and techniques to facilitate graph code synchronization between application programming interfaces. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause graph code to wait on a semaphore used by another API.