10 results about "Base domain" patented technology

The application discloses a specific field pipeline task type dialogue system based on an LLM, which comprises an inquiry subsystem and an answering subsystem, wherein: the inquiry subsystem parses and guides a user to supplement key information of a question according to user input task text, the answering subsystem summarizes key information of a dialogue task, and performs vector matching through a built-in vertical field local vector database to generate a final answer to the dialogue task. The application uses a large language model to realize natural language understanding, dialogue state tracking and natural language generation modules in a task type dialogue system pipeline, simultaneously realizes a rule matching-based strategy learning module, understands and replies to user input text, and combines the content of a local knowledge base, so that the whole process is more interpretable, the illusion problem of the large language model is reduced, only a small amount of sample prompt learning is needed, a large amount of data training or fine tuning is not needed, and the workload during field migration is reduced.

The method and device for identifying DoH service, the electronic device and the storage medium are disclosed, wherein the method comprises: sending a first domain name resolution request to a domain name resolution server at a preset detection frequency, the first domain name resolution request being used to request a DoH-based domain name resolution service for a first detection domain name; updating a target network address corresponding to the first detection domain name in a database according to each first resolution result; comparing a network address in the database with a network address to be queried in a domain name resolution service type query request when the domain name resolution service type query request is received; and determining that the domain name resolution service in the domain name resolution service type query request is the DoH-based domain name resolution service when there is a network address same as the network address to be queried in the database.

A method includes receiving a domain search query from a first user, generating a prompt based on the query to instruct a first model to provide a domain recommendation, where the first model is trained by utilizing a dataset including: first data reflecting interactions of users with domain portfolios, second data reflecting domain-related actions performed by the users, third data reflecting behaviors of a second user during a current domain search session, fourth data reflecting behaviors of the second user over a predetermined period covering multiple search sessions, and fifth data reflecting search scenarios of multiple users, determining the domain recommendation against a predetermined rule to form a sanitized domain recommendation, verifying an availability to register the sanitized domain recommendation to form an available domain recommendation, adding industry information to the available domain recommendation to form an enriched domain recommendation, and transmitting the enriched domain recommendation to the first user.

This application provides a text processing method, apparatus, device, and medium based on ontology-based domain language, comprising: receiving text to be processed; constructing initial inference state data based on the text, which includes an inference plan and evidence information; determining the inference action to be executed according to the current inference state; executing the inference action, obtaining new evidence and updating it to the state data; if the updated evidence does not meet preset conditions, dynamically adjusting the inference plan and repeatedly executing the above inference steps; if the conditions are met, generating a response text based on the final evidence. This solution, by introducing ontology-based domain language, transforms the natural language processing process into an interpretable and controllable iterative inference task under a structured domain model. Furthermore, by maintaining and iteratively updating the inference state and plan, it ensures that each step of inference is based on evidence, thereby improving the reliability, accuracy, and traceability of answers in complex question-and-answer and decision-making tasks.

This invention relates to the field of cloud-native gateways and service meshes, and discloses a route-aware multi-tenant certificate management method and system, comprising: upon receiving a tenant domain name creation request, creating a custom resource for the tenant domain name and initializing it; when the tenant domain name controller listens for the creation event of the custom resource for the tenant domain name, reading the Layer 7 routing resource template from the routing template cache, reading the subdomain prefix, and concatenating the subdomain prefix with the tenant's base domain name to generate a derived subdomain; aggregating all derived subdomains into a multi-domain certificate and submitting it to the certificate issuance controller; when the gateway proxy initiates an incremental discovery request to the key discovery and distribution service during the TLS handshake phase, sequentially querying the local cache, certificate index, and routing template cache, and executing the handshake admission control steps. This invention solves the problems of write conflicts and consistency issues, low resource utilization, and long fault recovery time in scenarios with tens of thousands of domain names.

This application provides a decentralized domain name access method, apparatus, device, and storage medium, relating to the field of blockchain technology. The method includes: obtaining a target access request sent by a first access device, the target access request including a target decentralized identity identifier; whether the target decentralized identity identifier can be registered on a second blockchain is determined by the second blockchain based on a preset verification algorithm to verify the target registration request sent by a preset management system, and the target decentralized identity identifier has been successfully registered on the first blockchain; if it is determined that the target decentralized identity identifier has been successfully registered on the second blockchain, then accessing the target blockchain address corresponding to the target decentralized identity identifier according to the target access request, thereby enabling the registration of a target decentralized identity identifier representing the same user on multiple blockchains, thus ensuring domain name consistency across the entire blockchain.

Systems and methods for similar domain detection include receiving a base domain, the base domain being associated with an enterprise; receiving a domain list comprising a plurality of domains; performing a plurality of similarity checks between the base domain and each of the plurality of domains within the domain list; and generating a directory of domains comprising one or more domains determined to be associated with the enterprise based on the one or more similarity checks.

The embodiments provide a system which receives user-provided natural-language input and processes the input to generate a structured workflow. The system analyzes the input using a Natural-Language Processing Engine to extract entities, intents, time references, and obligations, and classifies the extracted information using a Hierarchical Tag Graph. A Context Resolver identifies a governing context that includes jurisdictional or regulatory attributes. A Milestone Directed Acyclic Graph Compiler generates a milestone structure containing preconditions, action items, and verified events. A Cost Binder assigns structured cost data to the milestones, and an Engagement Generator produces an electronically signable agreement based on the milestone structure and associated cost data. A Runtime Workflow Tracker monitors the verified events and advances execution of the workflow. The system may operate across legal, administrative, commercial, or other service-based domains.

A method includes receiving a domain search query from a first user, generating a prompt based on the query to instruct a first model to provide a domain recommendation, where the first model is trained by utilizing a dataset including: first data reflecting interactions of users with domain portfolios, second data reflecting domain-related actions performed by the users, third data reflecting behaviors of a second user during a current domain search session, fourth data reflecting behaviors of the second user over a predetermined period covering multiple search sessions, and fifth data reflecting search scenarios of multiple users, determining the domain recommendation against a predetermined rule to form a sanitized domain recommendation, verifying an availability to register the sanitized domain recommendation to form an available domain recommendation, adding industry information to the available domain recommendation to form an enriched domain recommendation, and transmitting the enriched domain recommendation to the first user.

A test and measurement instrument comprising: a port to allow the test and measurement instrument to be connected to a device under test (DUT) to receive a signal from the DUT; one or more analog-to-digital converters (ADCs) to receive a signal from the DUT and convert the signal to one or more digital waveforms; a user interface to allow a user to enter a query; and one or more processors configured to execute code that causes the one or more processors to: construct one or more images of the one or more digital waveforms from the one or more ADCs; send the one or more images to a domain adapted multi-modal large language model (MLLM); receive parameters from the domain adapted MLLM; provide the parameters for the DUT to the user in response to the query; and apply the parameters to the DUT.