公开(公告)号：US20250005523A1

公开(公告)日：2025-01-02

申请号：US18622653

申请日：2024-03-29

Applicant: Atlassian Pty Ltd.

Inventor： Swati Katta ,  Balazs Nagy ,  Kasirajan Selladurai Selvakumari ,  Navneet Kumar ,  Rudra Saha ,  Bhargav Nallani Chakravarthula

IPC: G06Q10/101 ,  G06F21/31 ,  G06F40/20

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

公开(公告)号：US20250110618A1

公开(公告)日：2025-04-03

申请号：US18374641

申请日：2023-09-28

Applicant: Atlassian Pty Ltd

Inventor： Navneet Kumar

IPC: G06F3/0484 ,  G06F3/0482 ,  G06F3/0483 ,  G06F9/451 ,  G06F16/9538 ,  G06F40/35

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes generative interface panel used to access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

公开(公告)号：US20240223628A1

公开(公告)日：2024-07-04

申请号：US18147871

申请日：2022-12-29

Applicant: ATLASSIAN PTY LTD. ,  ATLASSIAN (US) LLC

Inventor： Navneet Kumar

IPC: H04L65/401

CPC classification number: H04L65/4015

Abstract: Techniques for simultaneously generating adaptive digital content for multiple client computing devices associated with multiple respective user profiles are discussed herein. Embodiments are configured to receive user input data associated with a collaborative document, where the user input data is associated with a user profile stored in a document collaboration platform. Embodiments can generate temporally correlated user input step events based on the user input data, and render, on interactive user interfaces associated with the collaborative document, temporally sequenced digital content generated based on the temporally correlated user input step events. Embodiments can generate suggested adaptive digital content based on model output generated by an adaptive digital content processing model comprised in a document assistance system, where the model output is generated based on the portion of the temporally sequenced digital content, and render, on interactive user interfaces associated with the collaborative document, the suggested adaptive digital content.

公开(公告)号：US20240223627A1

公开(公告)日：2024-07-04

申请号：US18147827

申请日：2022-12-29

Applicant: ATLASSIAN PTY LTD. ,  ATLASSIAN (US) LLC

Inventor： Navneet Kumar

IPC: H04L65/401 ,  G06F40/117 ,  H04L67/306

CPC classification number: H04L65/4015 ,  G06F40/117 ,  H04L67/306

Abstract: Techniques for automatically resolving document conflicts for multiple client computing devices associated with multiple respective user profiles are discussed herein. Embodiments are configured to receive multi-user input data associated with a collaborative document, where the multi-user input data is generated by two or more client computing devices associated with two or more user profiles supported by a document collaboration platform. Embodiments can generate user input step events based on the multi-user input data, where each of the user input step events are associated with a respective user profile. Embodiments can determine one or more document conflicts associated with the collaborative document based on application of a document merge model to the document object. The document merge model generates document merge resolutions associated with a respective merge resolution confidence score and determines whether to automatically incorporate the document merge resolutions into the collaborative document based on the merge resolution confidence scores.