12 results about "Functional role" patented technology

The embodiment of the invention provides a large language model function partition detection method and system based on an attention head. The method comprises the following steps: training attention head weights in a large language model by using training data including an input statement and an expected output statement of a preset specific task, and converting the attention head weights by using a binarization function after training is finished to obtain attention head masks corresponding to attention heads in the large language model; the output of each attention head in the large language model is masked by regulating and controlling the attention head masks, so that the attention heads in the large language model are selectively used, and the attention heads which are not masked but selected are detected to form mutually dependent functional partition paths. According to the embodiment of the invention, the attention head is selected to enable the large model to selectively execute the task so as to explain the functions related to the selected attention head, and the multifunctional mechanism of the large language model is explained, so that the model shows functionality.

A graph representing the source code is computed, the graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A domain model of a domain related to the legacy code base is computed, the domain model comprising a plurality of concepts and relationships between the concepts. A node of the graph matching one of the concepts is identified. A functional role of model is assigned to the identified node. The knowledge of the assigned functional role is used to trigger any of: migration, deployment as a microservice, deployment as a containerised service, deployment as a cloud-native application, maintenance, refactoring.

Source code from a legacy code base is represented using a graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A functional marker comprising a plurality of interconnected nodes, each node representing a software component and having a known functional role is accessed. An occurrence of the functional marker in the graph representing the source code is found. A functional role is assigned to nodes in the graph which are part of the occurrence by using the known functional roles of the functional marker. For the source code from the legacy code base corresponding to the nodes with the assigned functional roles, an automated tool triggers any of: migration, deployment as a microservice, deployment as a containerised service, deployment as a cloud-native application, maintenance, refactoring. The functional marker is a design pattern which makes it possible to assign functional roles associated with the design pattern.

Baseline data characterizing actions of one or more computing resources associated with one or more entities is received. One or more functional roles performed by the one or more computing resources are identified using a machine learning model, wherein the baseline data is provided as input to the machine learning model. A security-related control to be applied to the one or more computing resources is identified based on the one or more functional roles. The security-related control is applied to the one or more computing resources.

Best known configurations for workspaces can be managed. Device groups can be defined based on functional roles or organizational departments. Each device group can be associated with a workspace along with a best known configuration for the workspace that is based on the device group. Workspaces can then be deployed to the end-user computing devices based on the device group to which each end-user computing device belongs and in accordance with the associated best known configuration.

This application provides a method for processing roles in a governance system, relating to the fields of big data and distributed technologies. The method includes: acquiring q processes in the system; taking each node in the processes as a function, extracting non-repeating functions from the q processes to form a function set; traversing at least a portion of the functions in the function set, wherein, taking the traversed functions as target functions, determining p target processes from the q processes that use the target functions; acquiring roles executing the target functions from the p target processes in the system to form a first functional role supply and demand relationship set; when the first functional role supply and demand relationship set contains multiple roles satisfying a first similarity condition, forming a first suspected near-synonymous role set from the multiple roles satisfying the first similarity condition; and outputting the first suspected near-synonymous role set. This application also provides a processing apparatus, device, storage medium, and program product for roles in a governance system.

This application is a numerical-computation-based digital R & D method and system for the lightweighting of power tools, belonging to the field of power tool optimization. Aiming at the obvious limitations in the R & D of existing table saw power tools, a numerical-computation-based digital R & D method for the lightweighting of power tools is provided: According to the division of functional roles and connection relationships, table saw power tools are disassembled into different functional components; Standardized functional analysis modules for each functional component are constructed based on the finite element analysis method; A digital 3D model of the functional components of the table saw power tool is obtained, and the surface feature information and load parameters obtained by the interaction of the corresponding functional components are set. By outputting the stress, strain, and deformation data of the corresponding functional components and converting them into the corresponding cloud map results. This application modularizes each functional component of the power tool, can adapt to and verify different application scenarios and customer requirements, reduce the difficulty of pre-processing settings for finite element analysis, and can also reduce costs and technical thresholds and shorten the R & D cycle.

The invention discloses an agent system generation method and device, equipment, a storage medium and a product, relates to the technical field of artificial intelligence, and discloses a method for extracting a to-be-completed target task from an agent system generation instruction in response to the agent system generation instruction; performing semantic analysis on the target task through a large language model to determine a plurality of functional roles required for cooperatively completing the target task; acquiring role agents matched with the functional roles respectively; and forming an intelligent agent system by the obtained multiple role intelligent agents, wherein the intelligent agent system is used for collaboratively completing the target task. According to the method, the flexibility and efficiency of intelligent agent system construction can be improved, and cooperative execution requirements of different types of tasks can be quickly met.

A computer implemented method is described comprising accessing source code from a legacy code base and computing a graph representing the source code with the graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A functional marker is accessed comprising a plurality of interconnected nodes with each node representing a software component and having a known functional role. An occurrence of the functional marker in the graph representing the source code is identified. A functional role is assigned to nodes in the graph which are part of the occurrence by using the known functional roles of the functional marker. The functional role is assigned to the source code from the legacy code base corresponding to the nodes with the assigned functional roles and triggers any of: migration, deployment as a microservice, deployment as a containerised service, deployment as a cloud-native application, maintenance, refactoring. Abductive role reasoning is used to improve accuracy of functional role assignments. 1 to be published with the abstract

A computer implemented method is described comprising accessing source code from a legacy code base and computing a graph representing the source code with the graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A functional marker is accessed comprising a plurality of interconnected nodes with each node representing a software component and having a known functional role. An occurrence of the functional marker in the graph representing the source code is identified. A functional role is assigned to nodes in the graph which are part of the occurrence by using the known functional roles of the functional marker. The functional rose is assigned to the source code from the legacy code base corresponding to the nodes with the assigned functional roles and triggers any of: migration, deployment as a microservice, deployment as a containerised service, deployment as a cloud-native application, maintenance, refactoring.

A method reduces architectural coupling in source code. A graph representing the source code is computed, the graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A functional marker is accessed comprising a plurality of interconnected nodes, each node representing a software component and having a known functional role. A plurality of concepts of a domain of the source code are available. An occurrence of the functional marker is identified in the graph representing the source code. A functional role is assigned to nodes in the graph which are part of the occurrence by using the known functional roles of the functional marker. The assigned functional roles are matched to the concepts. An architectural coupling of different functional roles within a single node of the graph is identified using the assigned functional roles and matched concepts. The architectural coupling is reduced by transforming the source code.

The invention discloses a method for evaluating prejudice of a multi-agent system, and the method comprises the steps: defining different occupational roles and different functional roles, each occupational role having professional knowledge in different fields, and each functional role providing functions of clear judgment, detailed analysis, reflection reasoning and comprehensive summarization; adopting a large language model to combine the different occupational roles and / or the different functional roles to form multi-agent systems with different topological structures; the method comprises the following steps: constructing a plurality of scenes including different ages, different genders and different races, inputting prompts of the plurality of scenes into different multi-agent systems, and providing replies to the prompts by agents of each layer of the multi-agent systems and sequentially transmitting the replies to agents of the next layer; and calculating the Gini coefficient, variance and entropy of each layer of the agent system to evaluate the prejudice of the multi-agent system.