公开(公告)号：US20240022604A1

公开(公告)日：2024-01-18

申请号：US17865757

申请日：2022-07-15

Applicant: Salesforce, Inc.

Inventor： Regunathan Radhakrishnan ,  Vijay Erramilli ,  Anuj Gargeya Malkapuram

IPC: H04L9/40

CPC classification number: H04L63/20

Abstract: Systems, devices, and techniques are disclosed for security configuration evaluation. A binary representation of a reference security configuration for an application may be generated. The binary representation of the reference security configuration for the application may be hashed to generate a reference hash for the application. Data for an instance security configuration for an instance of the application may be received. A binary representation of the instance security configuration may be generated from the received data for the instance security configuration. The binary representation of the instance security configuration may be hashed to generate an instance hash. The computing device may determine the distance between the reference hash and the instance hash. The instance security configuration may be determined to be secure if the distance is not greater than a threshold.

公开(公告)号：US12111858B1

公开(公告)日：2024-10-08

申请号：US18481036

申请日：2023-10-04

Applicant: Salesforce, Inc.

Inventor： Regunathan Radhakrishnan ,  Zachary Alexander ,  Yuanxin Wang ,  Sitaram Asur ,  Aron Kale

IPC: G06F16/33 ,  G06F16/31 ,  G06N3/0455

CPC classification number: G06F16/3347 ,  G06F16/31 ,  G06N3/0455

Abstract: A text interaction record including interaction text from one or more messages between a client machine and a service provider is received at a database system. A search vector including a text embedding representing the interaction text in a multi-dimensional vector space may be determined based on the interaction text via a processor at the database system. A reference interaction record including reference interaction text may be retrieved from the database system based on the search vector. The reference interaction record may include a reference vector representing the reference interaction text in the multi-dimensional vector space. Recommended reply text is determined based on the interaction text and the reference interaction text by a large language model configured to generate the recommended reply text in response to a prompt that includes one or more natural language instructions.

公开(公告)号：US12284215B2

公开(公告)日：2025-04-22

申请号：US17865757

申请日：2022-07-15

Applicant: Salesforce, Inc.

Inventor： Regunathan Radhakrishnan ,  Vijay Erramilli ,  Anuj Gargeya Malkapuram

IPC: H04L29/06 ,  H04L9/40

Abstract: Systems, devices, and techniques are disclosed for security configuration evaluation. A binary representation of a reference security configuration for an application may be generated. The binary representation of the reference security configuration for the application may be hashed to generate a reference hash for the application. Data for an instance security configuration for an instance of the application may be received. A binary representation of the instance security configuration may be generated from the received data for the instance security configuration. The binary representation of the instance security configuration may be hashed to generate an instance hash. The computing device may determine the distance between the reference hash and the instance hash. The instance security configuration may be determined to be secure if the distance is not greater than a threshold.

公开(公告)号：US20240193213A1

公开(公告)日：2024-06-13

申请号：US18079857

申请日：2022-12-12

Applicant: Salesforce, Inc.

Inventor： Feifei Jiang ,  Zachary Alexander ,  Yuanxin Wang ,  Yixin Mao ,  Sitaram Asur ,  Regunathan Radhakrishnan ,  Aron Kale

IPC: G06F16/9535 ,  G06F16/9538

CPC classification number: G06F16/9535 ,  G06F16/9538

Abstract: A cloud platform establishes a communication session between an agent and a user. The communication session is over an electrical medium. The cloud platform generates an interface on a client device associated with the agent. A first portion of the interface is configured to exchange messages between the agent and the user for a conversation or otherwise transcribe a conversation between the agent and the user. The cloud platform obtains, at a first time, a set of utterances from a transcript of the conversation. The cloud platform accesses a database including a plurality of articles. The cloud platform generates relevance scores between the conversation and the plurality of articles. The cloud platform then selects a subset of articles having relevance scores above a threshold value or proportion. The identified articles are presented on a second portion of the interface.

公开(公告)号：US20240412059A1

公开(公告)日：2024-12-12

申请号：US18330488

申请日：2023-06-07

Applicant: Salesforce, Inc.

Inventor： Regunathan Radhakrishnan ,  Zachary Alexander ,  Sitaram Asur ,  Shashank Harinath ,  Na Cheng ,  Shiva Kumar Pentyala

IPC: G06N3/08

Abstract: Embodiments described herein provide A method for training a neural network based model. The methods include receiving a training dataset with a plurality of training samples, and those samples are encoded into representations in feature space. A positive sample is determined from the raining dataset based on a relationship between the given query and the positive sample in feature space. For a given query, a positive sample from the training dataset is selected based on a relationship between the given query and the positive sample in a feature space. One or more negative samples from the training dataset that are within a reconfigurable distance to the positive sample in the feature space are selected, and a loss is computed based on the positive sample and the one or more negative samples. The neural network is trained based on the loss.

公开(公告)号：US12153640B2

公开(公告)日：2024-11-26

申请号：US18079857

申请日：2022-12-12

Applicant: Salesforce, Inc.

Inventor： Feifei Jiang ,  Zachary Alexander ,  Yuanxin Wang ,  Yixin Mao ,  Sitaram Asur ,  Regunathan Radhakrishnan ,  Aron Kale

IPC: G06F16/9535 ,  G06F16/9538

Abstract: A cloud platform establishes a communication session between an agent and a user. The communication session is over an electrical medium. The cloud platform generates an interface on a client device associated with the agent. A first portion of the interface is configured to exchange messages between the agent and the user for a conversation or otherwise transcribe a conversation between the agent and the user. The cloud platform obtains, at a first time, a set of utterances from a transcript of the conversation. The cloud platform accesses a database including a plurality of articles. The cloud platform generates relevance scores between the conversation and the plurality of articles. The cloud platform then selects a subset of articles having relevance scores above a threshold value or proportion. The identified articles are presented on a second portion of the interface.