公开(公告)号：US20230342167A1

公开(公告)日：2023-10-26

申请号：US17726258

申请日：2022-04-21

Applicant: X Development LLC

Inventor： Rebecca Radkoff ,  David Andre

IPC: G06F9/455 ,  G06F40/30 ,  G06F3/0482

CPC classification number: G06F9/45529 ,  G06F40/30 ,  G06F3/0482

Abstract: Disclosed implementations relate to automating semantically-similar computing tasks across multiple contexts. In various implementations, an initial natural language input and a first plurality of actions performed using a first computer application may be used to generate a first task embedding and a first action embedding in action embedding space. An association between the first task embedding and first action embedding may be stored. Later, subsequent natural language input may be used to generate a second task embedding that is then matched to the first task embedding. Based on the stored association, the first action embedding may be identified and processed using a selected domain model to select actions to be performed using a second computer application. The selected domain model may be trained to translate between an action space of the second computer application and the action embedding space.

公开(公告)号：US11706111B1

公开(公告)日：2023-07-18

申请号：US17732957

申请日：2022-04-29

Applicant: X Development LLC

Inventor： John Michael Stivoric ,  David Andre ,  Ryan Butterfoss ,  Rebecca Radkoff ,  Salil Vijaykumar Pradhan ,  Grace Taixi Brentano ,  Lam Thanh Nguyen

IPC: H04L43/065 ,  H04L41/0604 ,  H04L41/12 ,  H04L43/0817

CPC classification number: H04L43/065 ,  H04L41/0627 ,  H04L41/12 ,  H04L43/0817

Abstract: Implementations are directed to improving network anti-fragility. In some aspects, a method includes receiving parameter data from a network of nodes, the parameter data comprising attributes, policies, and action spaces for each node in the network of nodes; configuring one or more interruptive events on one or more nodes included in the network of nodes; determining a first action of each node in the network of nodes in response to the one or more interruptive events; determining a first performance metric, for each node, that corresponds to the first action, wherein the first performance matric is determined based on at least a first reward value associated with the first action; continuously updating the first action in an iterative process to obtain a final action, wherein a performance metric corresponding to the final action satisfies a performance threshold, and transmitting the final action for each node to the network of nodes.