公开(公告)号：US20250060944A1

公开(公告)日：2025-02-20

申请号：US18449498

申请日：2023-08-14

Applicant: Salesforce, Inc.

Inventor： Shruthan Radhakrishna ,  Hadi Minooei ,  Yazdan Jamshidi

IPC: G06F8/33 ,  G06F40/55

Abstract: An automated data extraction pipeline for large language model (LLM) training may include extracting a set of code segments from a set of natural language question-answer (Q&A) combinations that each include a provided input, a provided output, and a provided code segment formatted to transform the provided input into the provided output. The data extraction pipeline may then generate a predicted output from a question portion of a first natural language Q&A combination using a first LLM. A first extracted code segment from the extracted set of code segments may then be executed to generate a first actual output of the first extracted code segment. One or more data samples may then be generated for training a second LLM based on a comparison of the first actual output to the predicted output. The second LLM may then be trained using the one or more data samples.

公开(公告)号：US20250086212A1

公开(公告)日：2025-03-13

申请号：US18530026

申请日：2023-12-05

Applicant: Salesforce, Inc.

Inventor： Hadi Minooei ,  Yazdan Jamshidi ,  Yanqi Luo ,  Santiago Bassani ,  Mofeyifoluwa Olaoluwa Oluwalana ,  Shobana Ranganathan

IPC: G06F16/33 ,  G06N20/00

Abstract: Methods, systems, apparatuses, and computer program products are described. A system may receive, via a cloud-based platform, user input comprising a request for generation of the integration flow. The system may generate a query based on the request and a query template including one or more example integration flows and a request to generate a natural language description of the integration flow. The system may transmit the query to the LLM and may receive, from the LLM, a response including the integration flow and the natural language description. The system may extract the integration flow and the natural language description from the response. The system may perform a validation process on the integration flow based at least in part on one or more integration flow validation rules.