公开(公告)号：US20250095096A1

公开(公告)日：2025-03-20

申请号：US18885192

申请日：2024-09-13

Applicant: Oracle International Corporation

Inventor： Iman Zadeh ,  Christophe J. Gerard ,  Qiu Qin ,  Ziqun Ye ,  Aditya Banerjee ,  Jun Qian ,  Nicole E. Hess

IPC: G06Q50/26 ,  G06F40/197 ,  G06F40/40

Abstract: The present disclosure relates to utilizing large language models (LLMs) to facilitate generation of incident reports or similar documents. One or more initial inputs may be received from a user, and one or more example incident reports may be identified. The one or more example incident reports and the one or more initial inputs may be sent to an LLM. A reviewable version of an incident report may be accessed that is based on output that the LLM generated based on the example incident reports and the one or more initial inputs. The reviewable version of the incident report may be presented in a human readable format via a graphical user interface (GUI). A modification corresponding to the reviewable version of the incident report may be received via the GUI. The modification and the reviewable version of the incident report may be sent to the LLM to cause the LLM to generate an updated version of the incident report.

公开(公告)号：US20240403693A1

公开(公告)日：2024-12-05

申请号：US18203568

申请日：2023-05-30

Applicant: Oracle International Corporation

Inventor： Uday Bhaskar Yalamanchi ,  FNU Akshat ,  Prashanth Ramanathan ,  Abhiram Jagarlapudi ,  Ye Zhang ,  Aditya Banerjee ,  Varaprasad Ballingam ,  Athinder Patlola ,  Beiwen Guo ,  Varun Ketanbhai Shah ,  Safia Rahmat ,  Shreyas Vinayakumar ,  Jigar Mody ,  Elad Ziklik ,  Senthilkumar Ponnappan ,  Pranav Varia ,  Denesh Krishnan Rajaram ,  Hariharan Balasubramanian

IPC: G06N20/00

Abstract: Techniques for providing machine-learned (ML)-based artificial intelligence (AI) capabilities are described. In one technique, multiple AI capabilities are stored in a cloud environment. While the AI capabilities are stored, a request for a particular AI capability is received from a computing device of a user. Also, in response to receiving training data based on input from the user, the training data is stored in a tenancy, associated with the user, in the cloud environment. In response to receiving the request, the particular AI capability is accessed, a ML model is trained based on the particular AI capability and the training data to produce a trained ML model, and an endpoint, in the cloud environment, is generated that is associated with the trained ML model. The endpoint is provided to the tenancy associated with the user.