8 results about "Context acquisition" patented technology

This invention relates to a method and system for automatically generating prompts for agents in a PLM system. The method includes: upon receiving a prompt generation task from a user, constructing a structured field-level context based on key fields of the current page; identifying the current business scenario and loading an agent task flow matching the current business scenario; multiple agents are configured for different functions, and the agent task flow consists of the agents to be called and the execution order between them; generating instructions based on the field dimensions of the business scenario, agents, and field-level context, combined with context information, and inputting the instructions into the agent task flow to generate prompts; by constructing a unified field context acquisition and prompt template instantiation mechanism, driving multiple domain agents to work collaboratively according to business scenarios, significantly improving the business accuracy, technical depth, and overall efficiency of agents in scenarios such as engineering changes and quality analysis.

This application relates to the technical field of stateless agent architecture, and discloses a method for stateless agent adaptation based on external protocols and zero-memory configuration. The method includes: configuring zero-memory runtime parameters for a selected agent framework, disabling all internal dialogue history storage and state caching functions, and registering external context acquisition services as functional tools in a native framework manner to replace built-in memory; injecting standardized system prompts containing stateless interaction constraints, external context invocation rules, and tool usage specifications to limit the execution logic of stateless agent interactions; parsing standardized service description files based on the Model Context Protocol, generating corresponding tool objects according to the agent framework, and registering them to the available tool list to achieve standardized invocation of external services by the agent. This application can achieve efficient horizontal scaling and fault tolerance in distributed deployment scenarios.

The present application belongs to the technical field of communications. Disclosed are a context acquisition method and apparatus, a communication device and a readable storage medium. The context acquisition method in the embodiments of the present application comprises: a first communication device acquiring an identifier of a first session, wherein the first communication device is a device in which a first network and a second network are co-located, and the first session is a session to be transferred in the first network; acquiring the context of the first session on the basis of the identifier of the first session; and generating the context of a second session on the basis of the context of the first session, wherein the second session is a session in the second network that corresponds to the first session.

This invention discloses a repository-level code generation method, device, and medium based on a large model and local dependency graphs. The method includes: initializing the set of entry functions for the inference chain based on the signature of the target function and the code repository; dynamically expanding the local dependency graph through multi-hop inference to obtain structural dependency context information; simultaneously calculating the similarity between the signatures of the functions and the target function using a pre-trained embedding model, and using the function with the highest semantic similarity to the target function as semantic similarity context information; finally, merging and deduplicating the structural dependency context information and the semantic similarity context information, and inputting it into a large language model to generate the target function implementation code. This invention reduces the cost of dependency graph construction and maintenance by dynamically constructing the local dependency graph; and improves the accuracy and flexibility of context acquisition by combining dependency inference and similarity retrieval, reducing reliance on manually designed retrieval rules, thereby improving the efficiency and accuracy of repository-level code generation.

This invention relates to the field of large language model technology and discloses a large model contextual semantic retrieval method based on knowledge graphs, including the following steps: entity and intent extraction, vectorized knowledge retrieval, KG subgraph query construction, multi-source database SQL transformation and context acquisition, and final prompt construction and knowledge question answering. This invention constructs a deep alignment representation of structured and natural language, transforming the discrete structure representation of the knowledge graph into a continuous vector representation through a graph embedding model, achieving unification with the vector representation system of the large language model. Simultaneously, it vectorizes the entities and intents of the user query and performs similarity matching, realizing semantic soft alignment between KG triples and natural language queries. This enables the large language model to perceive the topological structure and semantic constraints of the knowledge graph, reducing reliance on statistical associations and significantly reducing factual errors.

This information processing device comprises: a context acquisition unit that acquires, on the basis of the contents of a dialog between a user and a non-player character (NPC) in a virtual space, context information indicating the context of the dialog; and a generation unit that generates, on the basis of the context information and a sense-of-value segment that is information indicating the sense of value of the user, generation information for generating an utterance sentence by the NPC for recommending, to the user, a product and a service (product or the like) designated for recommendation to the user.

The application discloses a context acquisition method and device, communication equipment and a readable storage medium, and belongs to the technical field of communication. The context acquisition method of the application comprises the following steps: a first communication device acquires the identification of a first session; wherein the first communication device is a device combined by a first network and a second network, and the first session is a session to be transferred in the first network; the context of the first session is acquired according to the identification of the first session; the context of a second session is generated according to the context of the first session; and the second session is a session corresponding to the first session in the second network.

The application discloses a multi-round dialogue method, device and equipment, and a computer program product. The method comprises the following steps: obtaining user input information and performing scene recognition to obtain a scene recognition result; matching a corresponding target multi-round dialogue strategy and a target context acquisition strategy according to the scene recognition result; acquiring context information from the historical record of the current dialogue according to the target context strategy; and responding to the user input information and the context information by using the target multi-round dialogue strategy and a preset dialogue model to output a response result. Through the "scene-driven strategy" mechanism, the application realizes fine and dynamic management of the multi-round dialogue, ensures high consistency of the dialogue process and the business logic, avoids the insufficient adaptability of the traditional single strategy to complex scenes, reduces noise interference, improves the accuracy of intent understanding and slot filling, avoids unnecessary search and calculation in the full historical record, and improves the efficiency of the dialogue question and answer.