公开(公告)号：US20240338232A1

公开(公告)日：2024-10-10

申请号：US18625032

申请日：2024-04-02

Applicant: Palantir Technologies Inc.

Inventor： Martin Copes ,  Mohamed Zaki Trache ,  Christopher Jeganathan

IPC: G06F9/451 ,  G06F40/20

CPC classification number: G06F9/451 ,  G06F40/20

Abstract: A data orchestration system can be used to respond to natural language prompts (e.g., user submitted prompts) where the response involves a data processing workflow being executed using one or more data processing services (e.g., microservices of a data processing platform or software). This can provide for execution of data processing workflows (e.g., complex workflows) without a user needing to specify the particular data processing services that are included in the data processing workflows. This can cause new functionality to be available to a user (e.g., to a user who lacks the technical skillset to specify the relevant data processing services without use of the systems and methods disclosed herein), and/or can dramatically reduce the time required to orchestrate the data processing services that are included in the data processing workflows.

公开(公告)号：US20240419658A1

公开(公告)日：2024-12-19

申请号：US18675672

申请日：2024-05-28

Applicant: Palantir Technologies Inc.

Inventor： Mohamed Zaki Trache ,  Martin Copes ,  Christopher Jeganathan ,  Frauke Hein ,  Arttu Voutilainen ,  Adam Balogh ,  Joseph Hashim

IPC: G06F16/242 ,  H04L67/306

Abstract: An artificial intelligence system can be used to respond to natural language inputs (e.g., user submitted inputs) where the response involves a data processing workflow involving language models. The artificial intelligence system can use “profiles” associated with a user, role, cohort, and/or organization to bring additional operational context into user interactions within the artificial intelligence system.

公开(公告)号：US20250147832A1

公开(公告)日：2025-05-08

申请号：US18735057

申请日：2024-06-05

Applicant: Palantir Technologies Inc.

Inventor： Akshay Agrawal ,  Ndeye Fatou Diop ,  Frauke Hein ,  Christopher Jeganathan ,  Oleh Igorovych Busko ,  Claudia Rafaela Rogoz ,  Dauren Abdykaparov ,  Philipp Shchekin ,  Ryan Norris ,  Sudarshan Sanjay Ruikar

IPC: G06F11/07 ,  G06F40/197

Abstract: Computer-implemented systems and methods including language models for explaining and resolving code errors. A computer-implemented method may include: receiving or accessing a log comprising an error message, the error message indicating an error in code; determining the error message from the log; determining a context associated with the error; generating a prompt for a large language model (“LLM”), the prompt comprising at least: the error message, and the context associated with the error; transmitting the prompt to the LLM; and receiving an output from the LLM in response to the prompt, the output comprising at least: an explanation of the error message, and a suggested fix for the error.