Jolliffe, Jack Louis

A method may provide a set of data objects associated with an ontology. A method may receive a user query associated with the set of data objects, provide ontology documentation indicative of a method for accessing data objects, wherein the ontology documentation is specific to the ontology, generate a prompt for providing to a large language model ("LLM")-based agent, wherein the prompt includes at least: the ontology documentation and the user query, and provide the prompt to the LLM-based agent to cause the LLM-based agent to at least: generate a search query based on the ontology documentation and the user query, cause execution of the search query to access one or more data objects; and generate a response to the prompt based at least in part on the one or more data objects. A method may receive and causing display of the response in an interactive graphical user interface.

Systems and methods for context-aware attachments and large language model (LLM) analyses. An example method includes presenting an assistant application and a development application in a browser, the applications being in communication with a back-end system. Communications are established between the applications using a communication channel. A user prompt and indication of context to be included in an LLM prompt are obtained, with the user prompt and indication of context being routed to the back-end system and the indication of context being specified based on attachment of a repository, a code file being edited in the development application, or a portion of the code file selected in the development application. A response from an LLM is triggered and the response is presented in the assistant application.

Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for extracting and resolving entities mentioned in unstructured text data. A computer-implemented method may include at least: receiving first text data from a data source; generating and transmitting a first prompt for a large language model ("LLM"), the first prompt comprising the first text data; receiving a first output from the LLM in response to the first prompt; generating, based at least on the first output, and transmitting a second prompt to the LLM; receiving a second output from the LLM in response to the second prompt, the second output comprising first one or more entities extracted by the LLM from the first part of the first semantically related text portion and first metadata or context associated with the first one or more entities.

Computer-implemented systems and methods are disclosed for transitioning interactive workflow graphical user interface generation to local software development environments. A computer-implemented method may include receiving, via interactive user interface and from a user, definitions of one or more data object types including respective one or more properties. A computer-implemented method may execute a build process on the definitions to generate: an ontology definition file; and an ontology software development kit ("SDK"). A computer-implemented method may automatically communicate the ontology definition file to a backend server that may be usable by the backend server to generate an ontology implementation that may be usable in execution of software applications that operate on data objects. A computer-implemented method may include automatically implementing the ontology SDK in the software development environment, wherein the ontology SDK is configured to provide functionality to the software development environment for developing software applications that operate on data objects.

In some examples, systems and methods for data mapping are provided. An example method includes a method for data mapping is provided. In some examples, the method includes receiving the unstructured data including text data; receiving one or more extracted data parts from the GenAI model; accessing a hierarchical data model, the hierarchical data model including one or more sub-hierarchies; generating a search prompt using the unstructured data and the one or more highest-level structure elements; providing the search prompt to the GenAI model; receiving one or more identified sub-hierarchies; for each data part of the one or more extracted data parts, traversing each identified sub-hierarchy of the one or more identified sub-hierarchies to determine a list of relevant structure elements in the hierarchical data model based on a relevance scoring; and generating a mapping prompt based on the list of relevant structure elements and the unstructured data.

A PFAS-free hose is provided comprising an electrically conductive polyimide or PEEK innermost layer, optionally an adhesive tie layer, and a silicone tube layer. The conductive polyimide or PEEK innermost layer includes an electrically conductive filler and exhibits good electrical conductivity, is compatibility with aerospace fluids, and exhibits thermal stability, flexibility, and compatibility with outer tube layer when co-extruded.

The present invention provides a control method for an AC-DC conversion circuit of an electrical equipment and an electrical equipment. The control method includes voltage loop control and current loop control, where the voltage loop control provides a current instantaneous instruction value based on a comparison between a bus voltage sampled value and a bus voltage set value of the AC-DC conversion circuit, the current loop control provides a PWM control signal for the AC-DC conversion circuit based on a comparison between an inductor current sampled value of the AC-DC conversion circuit and the current instantaneous instruction value, the voltage loop control includes a coefficient adjustment step, and the coefficient adjustment step dynamically adjusts a coefficient K in the voltage loop control based on a load amount of the electrical equipment.

A vandalism detection and alert system (VDAS) is provided for an EV charging network monitored by a charge point operator (CPO). The VDAS is designed for use with a network whose EV charging stations use connector cables that include NTC cables to monitor over-temperature conditions. The VDAS includes an NTC monitoring logic module that continuously monitors each NTC cable in a given charging station. If there is a discontinuity in the communication path between an NTC cable and the NTC monitoring logic, the connector cable has likely been vandalized. The discontinuity causes an alarm to be issued in the specific charging station where the cable was vandalized and also causes an alert to be sent to the CPO. The CPO then issues a Panic Alarm command to all other charging stations associated with the site, causing all charging stations at the site to actuate their alarms.

An artificial intelligence system (AIS) can generate documentation documents describing a user's workflow through capturing meaningful and event-based workflow information to provide in an LLM prompt. The system may receive user inputs indicating start of a workflow capture session, monitor a user's use of a software application for selective, meaningful triggers, generate screen captures based on detected triggers and determine associated metadata. The system may record audio. The system may receive user inputs indicating stop of a workflow capture session, transcribe recorded audio to generate a transcript, and may associate text of the transcript with the generated screen captures based on determined metadata. The AIS can generate a prompt for the LLM based on at least some of the meaningful workflow information. The prompt can include at least some of the generated screen captures and associated metadata, some of the transcript, and instructions to generate a documentation document.

A bio-based electrically conductive polymer composite material is provided. The bio-based electrically conductive polymer composite material is useful as a bio-based anti-static inner layer in an aerospace hose.