Abstract: A system may use a large language model (“LLM”) to generate a data pipeline. The system can receive a natural language query and a selection of a plurality of data sets for generating a data pipeline and generate a prompt comprising at least: the natural language query, indications of the plurality of data sets, an indication of a format of a first computer language, and an indication of available data transformations. The system can transmit the prompt to an LLM and receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least an indication of one or more recommended data transformations. The system can generate, based on the indication of the one or more recommended data transformations, the data pipeline using a second computer language.

Abstract: A system may receive a natural language query. A system may receive indications of one or more data object types, wherein each of the one or more data object types is associated with a respective one or more properties. A system may receive references to one or more data sets, wherein the one or more data sets are each associated with at least a respective data object type. A system may transmit a prompt to a large language model (“LLM”), the prompt comprising at least: the natural language query, the indications of the one or more data object types, and the references to the one or more data sets. A system may receive, from the LLM, a response to the prompt, wherein the response includes indications of: at least a first reference to a first data set and a query to be applied to the first data set.

Abstract: An artificial intelligence system can be used to respond to natural language inputs. The AI System may, for example, receive a first user input for a LLM, generate a first prompt based on the first user input, transmit the first prompt to an LLM, receive an output from the LLM, and evaluate the output from the LLM with reference to one or more validation tests. Responsive to determining that the output from the LLM is not validated, generate a second prompt for the LLM, where the second prompt indicates at least an aspect of the output that caused the output to not be evaluated (e.g., a portion of the output that may need to be updated or corrected), transmit the second prompt to the LLM, and receive an updated output from the LLM. The AI system can include an application for testing functions that utilize interactions with language models.

Abstract: A system may receive a natural language query and receive an indication of a format of a first computer language as well as an indication of one or more computer-based tools stored in and/or accessible by the system. The system can transmit a prompt to a large language model (“LLM”). The prompt may include the natural language query, the indication of the format, and the indication of the one or more computer-based tools. The system can receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least: a computer-based tool of the one or more computer-based tools. The system can generate a second query in a second computer language and provide the second query in the second computer language to the computer-based tool.

Abstract: Computer-implemented systems and methods are disclosed, including for determining permissions for nondeterministic model output. A computer-implemented method may include, for example, receiving one or more user inputs including a first user input providing at least a portion of a first prompt for a query for a first nondeterministic model. A computer-implemented method may in response to receiving the one or more user inputs include: executing the query, by the first nondeterministic model, to generate an output, determining a first one or more data inputs used by the first nondeterministic model during execution of the query, determining a first set of permissions associated with the first one or more data inputs; and applying a second set of permissions to at least a first portion of the output based on the first set of permissions.

Abstract: The disclosure is directed to methods and systems for improving interactions with a Large Language Model (LLM). An artificial intelligence system (AIS) can receive user inputs via a graphical user interface indicating a task to be performed by the LLM, one or more tools which may be accessed by the AIS in response to tool calls from the LLM, and an output schema for structuring a format of a response from the LLM. The AIS can generate a prompt for the LLM based on the user input. The prompt can include indications of the one or more tools, one or more example tool operations, the task to be performed, and an indication of the output schema. The AIS can include a debugging application or module enabling rich debugging of language model interactions in a single view.

Abstract: A computer system may be configured to access a rule including one or more conditions, providing a user interface configured for user input of a modification to a condition of the rule, receive from a user, via the user interface, a modification to a first condition of the rule constituting a first changed condition, wherein the first changed condition is associated with a modified rule, determine an output data set, based on an input data set including a plurality of past data samples, and the first changed condition of the modified rule, and update the user interface to include a visualization indicating at least some of the output data set.

Abstract: A respiratory device for providing respiratory support to a patient. The device includes an expandable bag portion and a connection member in fluid communication with the expandable bag portion. The expandable bag portion includes an air intake valve and has an adjustable predetermined tidal volume. The connection member includes a positive end expiratory pressure (PEEP) valve, a PEEP controller configured to control the pressure of the PEEP valve, a two-way valve configured to allow air to move from the expandable bag portion in a first direction and through the PEEP valve in an opposing direction, a pressure relief valve configured to vent excess pressure from the connection member to an external environment, and a patient breathing interface.

Abstract: A clip member that attaches to the actuator of a flip switch timer for a toggle switch to allow the flip switch timer to actuate a decorator switch between on and off positions. The clip member may include a connector or fastener including a pair of arms having clips for engaging a slot on the actuator. A lever arm on the switch engages the raised end of a decorator switch when the actuator, and thus the clip member, are moved linearly within the flip switch timer.

Abstract: A clip member that attaches to the actuator of a flip switch timer for a toggle switch to allow the flip switch timer to actuate a decorator switch between on and off positions. The clip member may include a connector or fastener including a pair of arms having clips for engaging a slot on the actuator. A lever arm on the switch engages the raised end of a decorator switch when the actuator, and thus the clip member, are moved linearly within the flip switch timer.

Abstract: A clip member that attaches to the actuator of a flip switch timer for a toggle switch to allow the flip switch timer to actuate a decorator switch between on and off positions. The clip member may include a connector or fastener including a pair of arms having clips for engaging a slot on the actuator. A lever arm on the switch engages the raised end of a decorator switch when the actuator, and thus the clip member, are moved linearly within the flip switch timer.

Abstract: A clip member that attaches to the actuator of a flip switch timer for a toggle switch to allow the flip switch timer to actuate a decorator switch between on and off positions. The clip member may include a connector or fastener including a pair of arms having clips for engaging a slot on the actuator. A lever arm on the switch engages the raised end of a decorator switch when the actuator, and thus the clip member, are moved linearly within the flip switch timer.