Dynamic Cloud Workload Reallocation Based On Active Security Exploits In Dynamic Random Access Memory (DRAM)
Granted: May 2, 2024
Application Number:
20240146764
The present embodiments relate to identifying and mitigating memory bit flips in a cloud infrastructure service. The cloud infrastructure service can provide a monitoring system to monitor low level memory space to detect bit flips by the DRAM instances in the cloud infrastructure service. The bit flips detected in various DRAM computing instances can be processed to verify that the bit flips are sustained (e.g., and possibly relating to a Rowhammer attack) rather than transitory bit…
OBTAINING A DOMAIN CERTIFICATE UTILIZING A PROXY SERVER
Granted: May 2, 2024
Application Number:
20240146543
According to certain implementations, a certificate management service of a cloud service provider requests a certificate for a domain from a certificate authority utilizing an HTTP-based challenge. The certificate authority responds with a challenge string and a subdirectory within the domain. The challenge string and subdirectory within the domain are sent from the certificate management service to a proxy server of the cloud service provider that manages a flow of data to a host that…
USING A GENERATIVE ADVERSARIAL NETWORK TO TRAIN A SEMANTIC PARSER OF A DIALOG SYSTEM
Granted: May 2, 2024
Application Number:
20240144923
Disclosed herein are techniques for using a generative adversarial network (GAN) to train a semantic parser of a dialog system. A method described herein involves accessing seed data that includes seed tuples. Each seed tuple includes a respective seed utterance and a respective seed logical form corresponding to the respective seed utterance. The method further includes training a semantic parser and a discriminator in a GAN. The semantic parser learns to map utterances to logical forms…
CONTINUAL LEARNING TECHNIQUES FOR TRAINING MODELS
Granted: May 2, 2024
Application Number:
20240144081
Continual learning techniques are described for extending the capabilities of a base model, which is trained to predict a set of existing or base classes, to generate a target model that is capable of making predictions for both the existing or base classes and additionally for making predictions for new or custom classes. The techniques described herein enable the target model to be trained such that the model can make predictions involving both base classes and custom classes with high…
MULTI-TASK MODEL WITH CONTEXT MASKING
Granted: May 2, 2024
Application Number:
20240143934
A method includes accessing document including sentences, document being associated with configuration flag indicating whether ABSA, SLSA, or both are to be performed; inputting the document into language model that generates chunks of token embeddings for the document; and, based on the configuration flag, performing at least one from among the ABSA and the SLSA by inputting the chunks of token embeddings into a multi-task model. When performing the SLSA, a part of token embeddings in…
REPLICATING RESOURCES BETWEEN REGIONAL DATA CENTERS
Granted: May 2, 2024
Application Number:
20240143459
In response to a request to replicate resources from a primary region data center to a secondary region data center, an executable configuration file that describes the resources and their configuration is created utilizing information about the resources at the primary region data center. A correspondence table is also updated to include entries for to such resources. Utilizing the correspondence table, the executable configuration file is transformed to create a transformed executable…
TIME-BOUND LIVE MIGRATION WITH MINIMAL STOP-AND-COPY
Granted: May 2, 2024
Application Number:
20240143370
A computing system may access a source device configured to store device traffic in a source device queue. The computing system may launch, by one or more worker nodes of a control plane of the computing device, a destination device. The computing system may transmit a source device state to the destination device. The control plane worker nodes may configure the destination device from the source device state. The computing system may instruct the source device to pause storing the…
INITIALIZING A CONTAINER ENVIRONMENT
Granted: May 2, 2024
Application Number:
20240143365
Techniques are described for creating a container environment that implements direct communications between pods. This includes the creation of a management component (such as a control plane) of the container environment, the creation of nodes within an implementation component (such as a data plane) of the container environment, and the attaching of virtualized network interface cards (VNICs) to each node. This also includes creating a custom resource for each node, where the custom…
DATA AUGMENTATION AND BATCH BALANCING FOR TRAINING MULTI-LINGUAL MODEL
Granted: April 25, 2024
Application Number:
20240135116
A computer-implemented method includes: accessing a plurality of datasets, where each dataset of the plurality of datasets includes training examples; selecting datasets that include the training examples in a source language and a target language; and sampling, based on a sampling weight that is determined for each of the selected datasets, the training examples from the selected datasets to generate the training batches; training an ML model for performing at least a first task using…
HOME REGION SWITCH
Granted: April 25, 2024
Application Number:
20240137268
Approaches of reassigning a home region from a first data center to a second data center as requested by a customer are described herein. The home region is able to implement write operations to a domain, whereas other data centers cannot implement write operations to the domain. The customer can request the home region being reassigned to another data center such that the customer can utilize the other data center to implement write operations to the domain.
OUTPUT INTERPRETATION FOR A MEANING REPRESENTATION LANGUAGE SYSTEM
Granted: April 25, 2024
Application Number:
20240134850
The present disclosure is related to techniques for converting a natural language utterance to a logical form query and deriving a natural language interpretation of the logical form query. The techniques include accessing a Meaning Resource Language (MRL) query and converting the MRL query into a MRL structure including logical form statements. The converting includes extracting operations and associated attributes from the MRL query and generating the logical form statements from the…
TECHNIQUES FOR EFFICIENT ENCRYPTION AND DECRYPTION DURING FILE SYSTEM CROSS-REGION REPLICATION
Granted: April 25, 2024
Application Number:
20240134828
Techniques are described for a hierarchical caching mechanism enabling efficient cross-region replications. In some embodiments, replication-related information (e.g., key-value pairs) is stored in a particular layout in a binary tree (B-tree) of a file system for replication processing. A hierarchy of caches storing a first type of information (e.g., crypto keys associated with iNodes) may be arranged to match the particular layout in the B-tree to enable efficient parallel processing…
Perspective-Preserving Seamless Application Switching
Granted: April 25, 2024
Application Number:
20240133705
Techniques for perspective-preserving seamless application switching are disclosed. A system may display a first interface using a first application. The first interface includes interface elements representing a plurality of objects. The system may detect a zoom-in command, received by the first application, requesting a particular zoom level for a first interface element, corresponding to a first object in the first plurality of objects. The system may determine that the requested zoom…
GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT
Granted: April 18, 2024
Application Number:
20240126800
Techniques for maintaining list-type text formatting when converting content from a source content format to a destination content format are disclosed. A system generates text content by applying text formatting tags to segments of characters obtained from a source electronic document. The system parses a static-display type source electronic document to obtain character data of the characters in the source document. The system analyzes the parsed data to identify text arranged in a…
Management Of Multiple Machine Learning Model Pipelines
Granted: April 18, 2024
Application Number:
20240127119
In one or more embodiments, a software service allows software providers to implement machine learning (ML) features into products offered by the software providers. Each ML feature may be referred to as an encapsulated ML application, which may be defined and maintained in a central repository, while also being provisioned for each user of the software provider on an as-needed basis. Advantageously, embodiments allow for a central definition for an ML application that encapsulates data…
MULTI-LINGUAL NATURAL LANGUAGE GENERATION
Granted: April 18, 2024
Application Number:
20240127008
A method includes preparing a base model using an input model pretrained on at least three languages different from each other and a base vocabulary including words corresponding to two languages among the at least three languages, where the preparing the base model includes constraining the input model to the words included in the base vocabulary; training the base model using a first enhanced training dataset generated from public data, to generate a text summarization model; training…
MULTI-LINGUAL NATURAL LANGUAGE GENERATION
Granted: April 18, 2024
Application Number:
20240127004
A computer-implemented method includes obtaining, from text corpus including article-summary pairs in a plurality of languages, a plurality of article-summary pairs in a target language among the plurality of languages, to form an article-summary pairs dataset in which each article corresponds to a summary; inputting articles from the article-summary pairs to a machine learning model; generating, by the machine learning model, embeddings for sentences of the articles; extracting, by the…
DISTANCE-BASED LOGIT VALUE FOR NATURAL LANGUAGE PROCESSING
Granted: April 18, 2024
Application Number:
20240126999
Techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. The chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. Each binary classifier of the set of binary classifiers can be associated with a modified logit function. The method can also…
ENTITY FOCUSED NATURAL LANGUAGE GENERATION
Granted: April 18, 2024
Application Number:
20240126924
Method includes populating fake value for each of entities, to generate string of fake entity values that correspond to entities; inserting sentinel token between adjacent fake values included in the string to generate first input data; generating, by natural language generation model, natural language sentences based on first input data, natural language sentences including one or more fake values from the string; analyzing natural language sentences to determine whether any fake value…
ARCHITECTURE AND SERVICES PROVIDED BY A MULTI-CLOUD INFRASTRUCTURE
Granted: April 18, 2024
Application Number:
20240126848
Techniques are described for providing a multi-cloud control plane (MCCP) in a first cloud infrastructure (included in a first cloud environment provided by a first cloud services provider) that enables services and/or resources provided in the first cloud infrastructure to be utilized by users of a second cloud environment, where the second cloud environment is different than the first cloud environment. The multi-cloud infrastructure enables a user associated with an account with a…
