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公开(公告)号：US20240354322A1
公开(公告)日：2024-10-24
申请号：US18632900
申请日：2024-04-11
Applicant: Palantir Technologies Inc.
Inventor： Anirvan Mukherjee , Craig De Souza , Edgar Gomes de Araujo , Johannes Beil , Jessica Winssinger , Michael Zullo , Rushad Heerjee , Shubhankar Sachdev
IPC: G06F16/33 , G06F18/2415
CPC classification number: G06F16/3344 , G06F18/2415
Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating data objects and/or updating an ontology. A computer-implemented method may include: employing one or more large language models (“LLMs”) to generate at least a data triple and a classified triple; executing, using the classified triple, a similarity search with reference to an ontology to determine that the classified triple at least partially matches one or more data object types defined in the ontology; in response to the determination, adding into a first database at least a first data object of a first data object type that represents a first entity in the data triple and a second data object of a second data object type that represents a second entity in the data triple.
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公开(公告)号：US20200089601A1
公开(公告)日：2020-03-19
申请号：US16693063
申请日：2019-11-22
Applicant: Palantir Technologies Inc.
Inventor： Francisco Ferreira , Edgar Gomes de Araujo , Jose Angel Riarola
Abstract: An improved unit test framework that validates large datasets generated by a data management system is described herein. Typical unit test frameworks validate functions. However, the improved unit test framework validates the underlying data. For example, after each step of a data transformation process implemented by the data management system, the data management system can execute a data unit test that loads data sets into memory, checks a set of preconditions, and applies unit test logic to the loaded data sets. In some embodiments, the data management system executes the data unit tests asynchronously with the data transformation processes and therefore do not interfere with the data transformation processes. Rather, the data management system generates and transmits a notification when any step of the data transformation process fails a particular data unit test.
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公开(公告)号：US20240354584A1
公开(公告)日：2024-10-24
申请号：US18632958
申请日：2024-04-11
Applicant: Palantir Technologies Inc.
Inventor： Anirvan Mukherjee , Craig De Souza , Edgar Gomes de Araujo , Johannes Beil , Jessica Winssinger , Michael Zullo , Rushad Heerjee , Shubhankar Sachdev
IPC: G06N3/0895
CPC classification number: G06N3/0895
Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for creating and/or updating an ontology. A computer-implemented method may include: receiving tabular data from one or more data sources; generating an interactive graphical representation of at least a portion of the tabular data and connections between the portion of the tabular data; providing, via a user interface, the interactive graphical representation; receiving a user operation via the user interface, updating an ontology and/or generating transformations for adding data objects into a database.
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Patent Agency Ranking
公开(公告)号：US20240354436A1
公开(公告)日：2024-10-24
申请号：US18505912
申请日：2023-11-09
Applicant: Palantir Technologies Inc.
Inventor： Anirvan Mukherjee , Craig De Souza , Edgar Gomes de Araujo , Johannes Beil , Jessica Winssinger , Michael Zullo , Rushad Heerjee , Shubhankar Sachdev
CPC classification number: G06F21/6227 , G06F16/3344 , G06F16/3347
Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for searching a large corpus of data. A computer-implemented method may include: receiving a first user input comprising a natural language query; vectorizing the first user input into a query vector; executing, using the query vector, a similarity search in a document search model to identify one or more similar document portions, where the document search model includes a plurality of vectors corresponding to a plurality of portions of a set of documents; generating a first prompt for a large language model (“LLM”), the first prompt including at least the first user input, and the one or more similar document portions; transmitting the first prompt to the LLM; receiving a first output from the LLM in response to the first prompt; and providing, via a user interface, the first output from the LLM.
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公开(公告)号：US12299022B2
公开(公告)日：2025-05-13
申请号：US18632900
申请日：2024-04-11
Applicant: Palantir Technologies Inc.
Inventor： Anirvan Mukherjee , Craig De Souza , Edgar Gomes de Araujo , Johannes Beil , Jessica Winssinger , Michael Zullo , Rushad Heerjee , Shubhankar Sachdev
IPC: G06F16/00 , G06F16/334 , G06F18/2415 , G06N3/0895
Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating data objects and/or updating an ontology. A computer-implemented method may include: employing one or more large language models (“LLMs”) to generate at least a data triple and a classified triple; executing, using the classified triple, a similarity search with reference to an ontology to determine that the classified triple at least partially matches one or more data object types defined in the ontology; in response to the determination, adding into a first database at least a first data object of a first data object type that represents a first entity in the data triple and a second data object of a second data object type that represents a second entity in the data triple.
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公开(公告)号：US12032476B2
公开(公告)日：2024-07-09
申请号：US17681639
申请日：2022-02-25
Applicant: Palantir Technologies Inc.
Inventor： Francisco Ferreira , Edgar Gomes de Araujo , Jose Angel Riarola
CPC classification number: G06F11/3688 , G06F8/30 , G06F8/436 , G06F11/3696
Abstract: An improved unit test framework that validates large datasets generated by a data management system is described herein. Typical unit test frameworks validate functions. However, the improved unit test framework validates the underlying data. For example, after each step of a data transformation process implemented by the data management system, the data management system can execute a data unit test that loads data sets into memory, checks a set of preconditions, and applies unit test logic to the loaded data sets. In some embodiments, the data management system executes the data unit tests asynchronously with the data transformation processes and therefore do not interfere with the data transformation processes. Rather, the data management system generates and transmits a notification when any step of the data transformation process fails a particular data unit test.
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公开(公告)号：US20220179779A1
公开(公告)日：2022-06-09
申请号：US17681639
申请日：2022-02-25
Applicant: Palantir Technologies Inc.
Inventor： Francisco Ferreira , Edgar Gomes de Araujo , Jose Angel Riarola
Abstract: An improved unit test framework that validates large datasets generated by a data management system is described herein. Typical unit test frameworks validate functions. However, the improved unit test framework validates the underlying data. For example, after each step of a data transformation process implemented by the data management system, the data management system can execute a data unit test that loads data sets into memory, checks a set of preconditions, and applies unit test logic to the loaded data sets. In some embodiments, the data management system executes the data unit tests asynchronously with the data transformation processes and therefore do not interfere with the data transformation processes. Rather, the data management system generates and transmits a notification when any step of the data transformation process fails a particular data unit test.
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公开(公告)号：US11294801B2
公开(公告)日：2022-04-05
申请号：US16693063
申请日：2019-11-22
Applicant: Palantir Technologies Inc.
Inventor： Francisco Ferreira , Edgar Gomes de Araujo , Jose Angel Riarola
Abstract: An improved unit test framework that validates large datasets generated by a data management system is described herein. Typical unit test frameworks validate functions. However, the improved unit test framework validates the underlying data. For example, after each step of a data transformation process implemented by the data management system, the data management system can execute a data unit test that loads data sets into memory, checks a set of preconditions, and applies unit test logic to the loaded data sets. In some embodiments, the data management system executes the data unit tests asynchronously with the data transformation processes and therefore do not interfere with the data transformation processes. Rather, the data management system generates and transmits a notification when any step of the data transformation process fails a particular data unit test.
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