2429 results about "Service provider" patented technology

An example operation may include at least one of retrieving vectors from a vector database, where the vectors include previous communication content between a source device and a service provider device, identifying an item of interest that has not been discussed in the previous communication content based on execution of a large language model (LLM) on the vectors, generating content about the item of interest, and outputting the content about the item of interest to at least one of the source device and the service provider device during an active communication session between the source device and the service provider device.

An example operation may include one or more of receiving interaction content from a communication session between a source device and a service provider device of a service provider, identifying a search criteria from the interaction content, retrieving a subset of vectors from a plurality of vectors stored in a vector database based on the search criteria of the interaction content, wherein the subset of vectors includes previous interaction content with the service provider, generating a response for the communication session based on execution of a large language model (LLM) on the subset of vectors, and outputting the response to at least one of the source device and the service provider device during the communication session.

The invention belongs to the technical field of cloud security services, and provides a trusted cloud security confidential privacy three-dimensional level product service method, which comprises the following steps that: a cloud service provider matches products and services with different security levels by separating differentiated demands of an application development service provider and a final user in confidential, privacy and security dimensions; configuring different security modules for the product, performing hardware and software type selection matching, and determining a product type in combination with an end-to-end scene; then deploying a dynamic strategy adjustment mechanism, monitoring abnormal access in real time and adaptively adjusting a protection strategy; and continuously optimizing the security configuration. The invention discloses a trusted cloud security confidential privacy three-dimensional grade product service system, which is used for realizing a trusted cloud security confidential privacy three-dimensional grade product service method. The method is beneficial for transparently solving the security demand and conflict problem of the cloud service provider, the application development service provider and the final user, and promoting the healthy development of the cloud computing market.

An example operation may include at least one of storing first interaction content with a service provider; receiving second interaction content from a communication session between a source device and a service provider device of the service provider; identifying at least one contextual attribute associated with the source device; determining a response based on execution of at least one large language models (LLMs) on the second interaction content, the at least one contextual attribute associated with the source device, and the first interaction content with the service provider; and outputting the response to at least one of the source device and the service provider device during the communication session.

The invention provides a security verification method for a large model service operation environment, a medium, equipment and a product, and relates to the technical field of computers, large model services are deployed in a container group created in a virtual machine, and the virtual machine is deployed in a hardware-based trusted execution environment, so that the security verification of the large model service operation environment is realized. The method comprises the following steps: acquiring environment measurement corresponding to a running environment of a large model service through a remote attestation service deployed in a hardware-based trusted execution environment, the environment measurement at least comprising a first measurement corresponding to the trusted execution environment in which a virtual machine is located and a container measurement under a container stack dimension corresponding to a container group; the remote attestation service generates a remote attestation report according to the environmental metrics to enable a user to validate the security of the operating environment through the remote attestation report. According to the invention, not only can the attack from the IaaS layer be shielded, but also the credibility verification under the dimension of the virtual machine and the credibility verification under the dimension of the container stack can be provided, so that the credibility of the user to the service provided by the service provider is improved.

A system for classifying customer communications based on customer intent receives a communication from a customer during a communication session. The communication can include natural language. The system can create an embedding vector based on the natural language of the communication. The first embedding vector can include a numerical representation of natural language extracted from the communication. The system can compare the embedding vector to multiple embedding vectors associated with intent classifications corresponding to a prediction of a type of assistance available for customers. The multiple embedding vectors can be created based on a model that is configured to identify customer intent. The system can identify which intent classification of the multiple intent classifications is associated with the embedding vector based on the comparison. The system can redirect the communication session to a sub-unit of the telecommunications network service provider based on the identified intent classification.

Techniques are disclosed for generating a ranked list of content for a user account of a service provider. A server device can determine that a first user account of a service provider is linked with a second user account of the service provider. The server device can then determine whether the first user account has been registered with the service provider a time period less than a threshold time. In response, the server device can determine interaction information associated with the second user account and generate, using a ranking model taking the interaction information as an input, a ranked list of content offered by the service provider. The server device can then cause the user device to present content at a graphical user interface of the user device according to the ranked list of content.

An example operation may include one or more of receiving interaction content from a communication session between a source device and a service provider device of a service provider, identifying a plurality of contextual attributes of the communication session based on execution of at least one large language models (LLMs) on the interaction content, converting the interaction content and the plurality of contextual attributes of the communication session into vectorized data based on execution of an additional LLM, labelling the vectorized data with identifiers of the plurality of contextual attributes, and storing the vectorized data within a vector database.

The invention relates to the technical field of communication, and provides a short message content compliance generation method and system fusing a semantic large model. The method comprises the following steps: carrying out coarse identification on short message content to be processed by a service provider to obtain a short message type and a user demand; inputting the short message content into a semantic large model for deep semantic analysis, and outputting short message semantic analysis information; performing multi-dimensional compliance comparison on the semantic analysis information of the short message according to the type of the short message and a user demand, and identifying risk description content; and optimizing and adjusting the risk description content according to the short message type and the user demand and the semantic analysis information of the risk content, and generating target short message content. The technical problem that short message content generation in communication service depends on a template, and compliance risks cannot be dynamically identified and avoided according to user requirements is solved, and deep semantic analysis and multi-dimensional risk comparison through a semantic large model are realized; and the intelligent level and compliance guarantee capability of short message content generation in the communication service are improved.

There are provided systems and methods for a fine-tuning system for large language models trained for open-ended domain-specific tasks. An online transaction processor or other service provider may provide computing services and platforms to entities, which may include chatbots, information retrieval systems, question-and-answer systems, and the like. To provide better LLM training and fine-tuning, which may improve LLM performance in answering users' questions in an automated manner, the service provider may implement a fine-tuning system that may utilize automated annotations of training data, such as query and response pairs. An LLM may be prompted to determine an annotation to such pairs, and the annotations may be used to label the training data. A fine-tuning system and operations may then be implemented to fine-tune the LLMs using different processes including question-answering, retrieval augmented generation, or a continuous fine-tuning based on a size of the training data.

An example operation may include one or more of receiving interaction content from a communication session between a source device and a service provider device, executing a large language model (LLM) on the interaction content, wherein the LLM comprises a plurality of attention heads which are configured to simultaneously identify a mood and an item of interest from the interaction content, generating a response to the interaction content based on the mood and the item of interest, and outputting the response to at least one of the source device and the service provider device during the communication session.

Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.

There are provided systems and methods for a domain-knowledge guided agent framework for automated system analysis. An online transaction processor or other service provider may provide computing services and platforms to entities, which may require compliance enforcement for different policies, regulations, and the like. To provide compliance review, investigations, and enforcement in a computing system of a service provider, the service provider may implement an intelligent and automated agent and framework that may utilize different large language models for processing compliance investigation requests and queries. The agent may utilize the models to plan and execute tasks using an available toolkit of computing operations and capabilities for compliance investigation. A data guard module may also be used to ensure data privacy and security is maintained. Within a main task, sub-tasks may be executed by models with specific domain knowledge.

A method performed by a computer-implemented controller is provided. The method includes receiving a request for managing one or more user equipments (UEs); obtaining a user-specific security profile from a first service provider; obtaining a subscriber identity module (SIM) profile from a network node or a second service provider; obtaining a set of secure access service edge (SASE) instances from the network node; building one or more UE-specific bootstrap configurations based on the user-specific security profile, the SIM profile, and the set of SASE instances; and sending the one or more UE-specific bootstrap configurations to a third service provider. The one or more UE-specific bootstrap configurations are obtainable by the one or more UEs to establish a secured wireless communication channel through a zero-trusted network.

The invention discloses an API service management method and device and a medium, and relates to the technical field of software development. The method comprises the following steps: receiving and verifying API service registration information through a standardized interface to generate service metadata based on the API service registration information, and storing the service metadata to a service directory; wherein the service metadata comprises a service name, an interface address and a version number; when the API calling request arrives at the gateway, performing dual verification on the API calling request; wherein the dual verification comprises calling party identity key authentication and verification of types, ranges and necessary items of request parameters; under the condition that the verification is passed, asymmetrically encrypting and negotiating a session key, and performing symmetric encryption transmission on the request and response data by using the session key; and after the transmission is completed, collecting and calling log data to generate a multi-dimensional monitoring chart, and dynamically adjusting the service priority based on the interface error rate of the service provider.

An apparatus, including a computer including a database which stores a controllable healthcare record and information contained in a master records file, and a distributed ledger and Blockchain technology system. The apparatus facilitates a video call between a user device and a provider device. The computer, after processing information for updating the controllable healthcare record, processes information for identifying a plurality of electronic records for the individual and a second healthcare provider associated with each electronic record. The computer updates each of the plurality of electronic records, and generates a record update message. The computer transmits the record update message to each of a plurality of second provider devices associated with each second healthcare provider. Information regarding the update to the controllable healthcare record and the update to each of the second records is stored in the distributed ledger and Blockchain technology system.

Methods and apparatuses for facilitating network slice selection are disclosed. According to an embodiment, a service consumer sends, to a service provider, a request for subscribing to a notification of a change in network slice selection assistance information (NSSAI) availability information. The request indicates that the notification is to be subscribed to for all tracking area identifiers (TAIs) supported by an access and mobility management function (AMF) set. The service consumer receives, from the service provider, a response to the request.

Methods, systems, and devices for wireless communications are described. A first network entity of a first service provider may obtain, from a first user equipment (UE), an invite message for initiating a call between with a second UE that includes an identity associated with the first UE and an authorization server. Based on whether the first UE is subscribed to a third-party information service, the first network entity may obtain third-party information from the authorization server. The first network entity may output the invite message to a second network entity of a second service provider, where the invite message output by the first network entity includes the third-party information in accordance with whether the third-party information is obtained. Based on whether the second UE is subscribed to a third-party information verification service, the second network entity may verify the third-party information and output the invite message to the second UE.

A service provider may deploy a security threat detection and mitigation platform in a multi-tenant virtualization environment that includes pluggable data collection, data analysis, and response components. The data analysis components may apply machine learning techniques to generate (based on training data sets) and refine (based on subsequently received data sets and feedback about the resulting classifications) predictors configured to detect particular types of security threats, such as denial of service attacks, botnets, scans, or remote desktop attacks. A data collection layer may collect, filter, organize, and curate network packet traffic data, network packet header data, or other information emitted by computing instances or applications executing on them, and provide the curated data as streams to the analysis layer. A response layer may automatically take action in response to threat detections (which may be overridden by an administrator) and may store classification data for subsequent analysis, feedback, and predictor refinement.

Techniques for providing explicit proxy solutions for 5G Service Access Service Edge (SASE) with service provider network attach are disclosed. In some embodiments, a system, a process, and / or a computer program product for providing explicit proxy solutions for 5G SASE with service provider network attach includes receiving data plane traffic associated with a User Equipment (UE) from a mobile core network at a Secure Access Service Edge (SASE) cloud network via a service provider network attach using an interconnect between the mobile core network and the SASE cloud network; enforcing a security policy on data plane traffic associated with the UE based on contextual information associated with the UE to provide secured data plane traffic using the security policy configured per user group and / or per user; and forwarding the secured data plane traffic from the SASE cloud network to its original destination if allowed by the security policy, and blocking or dropping the data plane traffic from the SASE cloud network if not allowed by the security policy.

A technique for resource allocation estimation for media content items is described. In accordance with the described techniques engagement by a set of user accounts with respective media content items of at least one media content service provider system is obtained. The media content service provider system and / or a payment service system generates historical streaming data for the respective media content items based on the engagement of the set of user accounts. An estimated streaming count of a media content item over a time period based on the historical streaming data for the respective media content items is determined. An estimated resource allocation for the artist is determined based on the estimated streaming count and an advance of funds is facilitated based on the estimated resource allocation to an account of the artist during the time period.

There are provided systems and methods for scenario-based decisioning by machine learning models for data processing retry success. A service provider, such as an electronic transaction processor for digital transactions, may detect a failure of data processing for a transaction or other request when processed with a data processing system. In order to minimize cost and wasted resources for retrying transactions that are likely to further fail, machine learning models may be implemented that generates a predictive score for whether a failed transaction is likely to be successful if retried with the data processing system. This may be done when the transactions are received or detected, which may occur prior to failures, for different scenario-based decisioning. Scenarios for failures may be processed by the models with different retry strategies and a predictive score may be used to predict a probability of success of the retry.

Techniques described herein may be implemented in the context of a computing resource service provider. A machine learning (ML) service provides an interface to clients which can be used to create, read, update, and delete ML pipelines. ML pipelines can be converted to a human-readable format, which a server persists. Clients of a machine learning service can start, stop, and resume executions a ML pipeline based on the human-readable format of the ML pipeline.

The invention provides a credible identity authentication method and system with privacy protection and traceability, and the method comprises the steps: S1, defining roles in an identity authentication process and a supervision traceability process and the function division of each role, including a user, a registration organization RA, a certificate issuer Issuer, a service provider SP and a supervision committee RegComm; s2, realizing an identity authentication process through a real name authentication verification process, an anonymous identity certificate signing and issuing process and a user identity authentication proving process; wherein in the anonymous identity certificate issuing process, a certificate issuer Issuer issues a verifiable anonymous identity certificate to a user through a formula according to a real name authentication verification result of a registration authority RA; and S3, realizing a supervision and tracing process through user secret distribution and a user information tracing process. According to the invention, an identity authentication process based on zero-knowledge proof and verifiable secret sharing is realized, a supervision and tracing process is introduced, and practical application requirements of privacy protection and traceability can be met at the same time.

Provided is a system including at least one processor configured to detect a communication request for a communication between a protected party and a second party, in response to determining the communication originated from the second party, determine if an identity of the second party is verified by the originating service provider based on at least one of STIR / SHAKEN attestation or a network operator, in response determining that the identity of the second party is verified by the originating service provider, initiate a search in a database maintained by the protected party based on an identifier of the second party, determine if the identifier of the second party matches an entry in the database based on the search, and in response to determining that the identifier of the second does not match an entry in the database, automatically monitor the communication in real-time.

Example embodiments are directed towards an intelligent user interface for interrelated services. The data-rich ecosystem of a telecommunication service provider's wireless network is leveraged in creative and intuitive ways to bring data points to users' fingertips how they need it and when they need it. A single pane of glass is made up of selectable and controllable user interface elements that paint a larger picture together of the telecommunication service provider's network and individual components thereof. For example, the system may electronically provide a plurality of software services, each having a respective user interface (UI), and electronically orchestrate, at a service orchestration layer, the plurality of software services such that when any one service of the plurality of services is used, usage of the one service automatically affects what data is presented or how the data is presented in one or more respective user interfaces of other services of the plurality of services.

Telephone calls can be intelligently delivered with identity attributes as described herein. In one example, a system can receives communication associated with a caller requesting to make a telephone call to a recipient, where the communication includes a recipient identifier associated with the recipient. The system can determine a terminating telecommunication service provider (TTSP) to which the telephone number is assigned. The system can then determine identification options available at the TTSP, where each identification option can be configured to provide one or more identity attributes associated with the caller to the recipient. The system can select one or more of the identification options based on a predefined policy and modify the communication to include the one or more identity attributes associated with the one or more selected identification options, thereby producing a modified communication. The system can then transmit the modified communication along a call route to the TTSP.

The invention relates to a multi-dimensional user grouping matching method and device, equipment and a medium. The method comprises the following steps: firstly, acquiring real-time behavior data, consumption data, interest data, historical conversion data and social media data of a user group, and integrating to form a user feature data set; performing multi-dimensional data fusion and cross-dimensional correlation analysis on the data set to generate a user group feature set; the value weight of the user group is updated based on the feature set, grouping levels are divided in combination with service accuracy requirements, and a dynamic grouping mechanism is constructed; and finally, receiving bidding requests of the service providers, constructing a dynamic bidding model in combination with a dynamic grouping mechanism to calculate bidding scores of the service providers, sorting the service providers according to the scores, and generating an accurate matching result with the target user group. According to the method, the limitation of single-dimensional grouping is overcome, the timeliness and flexibility of grouping are improved, and the accuracy and efficiency of matching between the service provider and the target user group are effectively improved.

Techniques are provided for artificial intelligence (AI) based application error detection and resolution. Extensive amounts of time and resources are consumed by service providers when attempting to resolve application errors experienced by customers. Unfortunately, a service provider may spend tedious amounts of manual effort to evaluate and solve an error that is already known or already solved. The techniques provided herein reduce the amount of time and resources involved in detecting and resolving errors associated with applications. In particular, an error mapping is generated for a current troubleshooting case to resolve for an application. The error mapping is compared to error mappings of previously resolved troubleshooting cases. If a match is found, then a troubleshooting action associated with a previously resolved troubleshooting case is suggested or executed. Otherwise, a service ticket is created for solving the current troubleshooting cases.

Techniques for a service provider network to manage a meeting between individuals located in a conference room with one or more other individuals remote from the conference room are discussed herein. An Enterprise system can implement one or more machine learned models to generate tiles that represent different individuals associated with a meeting. A same or different machine learned model can automatically arrange a series of tiles for display that, when presented collectively, promotes inclusiveness and attention for both in-room and remote participants of the meeting. The meeting management techniques can include determining which content to include on a display device based on evaluating changes in behavior of the meeting participants over time.