LARGE LANGUAGE MODEL REGULATION SYSTEMS AND METHODS
Granted: February 6, 2025
Application Number:
20250045596
At least one processor may receive a query response generated by a query machine learning (ML) model, wherein the query response is generated in response to a query from a client device. The at least one processor may generate an evaluated likelihood of the query response being found in a training data set comprising known valid data, wherein the generating is performed using an evaluation ML model. The at least one processor may determine that the evaluated likelihood indicates the…
CLASSIFYING FEEDBACK FROM TRANSCRIPTS
Granted: February 6, 2025
Application Number:
20250045532
A method classifies feedback from transcripts. The method includes receiving an utterance from a transcript from a communication session and processing the utterance with a classifier model to identify a topic label for the utterance. The classifier model is trained to identify topic labels for training utterances. The topic labels correspond to topics of clusters of the training utterances. The training utterances are selected using attention values for the training utterances and…
CREATING CONTEXTUAL PROMPTS BASED ON EMBEDDINGS TO ENRICH USER TEXT
Granted: February 6, 2025
Application Number:
20250045314
Systems and methods for enriching raw user text with a database to identify relevant context, wherein generated prompts provide responses to user queries is provided. A method includes receiving a query, wherein the query comprises the raw text, creating a first embedding based on the query, retrieving a plurality of other embeddings, wherein the plurality of other embeddings are complementary to the first embedding, creating a contextual prompt including context from at least one of the…
GRAPHICAL USER INTERFACE FOR A MATCHING TOOL
Granted: February 6, 2025
Application Number:
20250045285
A method includes obtaining matches between target records in a target dataset and a reference records in a reference dataset, each match of the matches comprising a corresponding confidence level of the match, categorizing the target records into review level categories according to the corresponding confidence level, and presenting a graphical user interface (GUI). The GUI includes a first section for a first review level category showing a first subset of the target records assigned…
FRAMEWORK FOR TRANSACTION CATEGORIZATION PERSONALIZATION
Granted: January 30, 2025
Application Number:
20250037209
A transaction model of a general model generates a target transaction vector for a target transaction record. The general model also generates account vectors for accounts. A match score is generated between the account vectors and the transaction vector. The general model selects a first account identifier of an account using the match score. The transaction model also generates historical transaction vectors for historical transaction records. Further, a comparison score is generated…
MATCHING PRODUCT INFORMATION ACROSS MULTIPLE CHANNELS
Granted: January 30, 2025
Application Number:
20250037184
Systems and methods for matching received product information with stored product information. Incoming product information has multiple attributes, which may be fuzzy matched with corresponding attributes of stored product information to generate corresponding fuzzy matching scores. Each of the fuzzy matching scores is associated with a weighting factor, which is used to indicate a contribution of the corresponding fuzzy matched attribute to a match between the entire product…
CONTROLLING UNCERTAIN OUTPUT BY LARGE LANGUAGE MODELS
Granted: January 16, 2025
Application Number:
20250021468
A method including receiving a user input from a user device. The method also includes generating test inputs including the user input and modified inputs. The user input is processed with a rephrasing model to form the modified inputs. The method also includes executing a test model to generate test outputs, including an original test output and modified test outputs, from processing the test inputs. The method also includes generating similarity scores by performing similarity…
CONTEXTUAL BANDIT FOR MULTIPLE MACHINE LEARNING MODELS FOR CONTENT DELIVERY
Granted: January 9, 2025
Application Number:
20250013914
A processor may receive user information for a request payload from an external device and data describing a plurality of user interface (UI) elements configured to be presented in a UI of the external device. The processor may select a machine learning (ML) model from a plurality of ML models using a contextual bandit ML model that is trained based on the user information. The processor determines at least one recommended user interface (UI) element with a selected ML model, based on…
TRAINING OF MACHINE LEARNING ENSEMBLE TO PROCESS DIVERGENT INPUT DOMAINS
Granted: December 19, 2024
Application Number:
20240420091
A method including identifying first and second training data having first and second subsets of click-through information for a dataset. Identifying includes associating the first and second subsets first and second applications executing on first and second domains having divergent first and second ontologically defined groupings of entities. The method also includes storing, as first and second vector data structures, the first and second training data. The method also includes…
MAINTAINING STREAMING PARITY IN LARGE-SCALE PIPELINES
Granted: December 5, 2024
Application Number:
20240402990
In a pipeline, data events generated by a producer application are temporally grouped by using a group identification tag. For each data event, data points are generated and uploaded to a storage and cache at each point of production and consumption. The storage allows a matching of data events between the production point and the consumption point, thereby ensuring that streaming parity is maintained. In cases of mismatch, the cache allows for detecting missing data events, i.e.,…
INTERACTIVE USER INTERFACES FOR DIGITAL CUSTOMER RELATIONSHIP MANAGEMENT
Granted: November 21, 2024
Application Number:
20240386433
Customizable template-based user interfaces for digital CRM tools. For instance, the CRM tools are pre-loaded with customizable templates, which are rendered as interactive user interfaces that allow customization of the templates based on user needs. This customization therefore allows a user to rapidly, visually, and easily define a customer engagement pipeline and customer segments without any specialized programming knowledge. The user interfaces may dynamically show the flow of…
TRUST-AWARE MULTI-VIEW STACKING BASED RISK ASSESSMENT
Granted: November 21, 2024
Application Number:
20240386331
A method and system are provided for generating a combined prediction using an ensemble machine learning system. The prediction may be used in risk assessment for payroll processing. A data point is received as input to a multitude of trained models. Each model is trained from a respective data subset of a disparate data. A model prediction this generated by each of a multitude of machine learning models. For each respective trained model, a trust score is generated based on a data…
SELECTIVE POSTING FOR SOCIAL NETWORKS
Granted: October 31, 2024
Application Number:
20240364654
This disclosure relates to systems and methods for providing user content on a social network. In some aspects, the social network receives, over a communications network from a first computing device associated with a first user of the social network, a transmission including a post to be published on the social network. The social network detects, in the post, goods or services sought or inquired about by the first user, and determines a proximity of the first user. The social network…
TRANSFER LEARNING USING TREES
Granted: October 31, 2024
Application Number:
20240362528
A system is configured to train a machine learning tree network using path based features, such as leaf nodes or connections between nodes. A first machine learning tree network model, for example, may be trained using a first set of training data, and used to generate predictions for a second set of training data. The path based features are determined from the first machine learning tree network model when generating the predictions for the second set of training data. The path based…
COMPUTER ASSISTED PROGRAMMING USING AUTOMATED NEXT NODE RECOMMENDER FOR COMPLEX DIRECTED ACYCLIC GRAPHS
Granted: October 31, 2024
Application Number:
20240362510
A method includes receiving a set of execution paths for a directed acyclic graph. The directed acyclic graph includes multiple nodes and multiple edges. The nodes include sets of executable code. The edges represent an operational relationship between at least two nodes. The execution paths include a subset of the nodes connected by a sequence of edges. The method further includes setting a current training level to a maximum training level. The method further includes constructing a…
GREEDY LOOKAHEAD K-ANONYMITY FOR SMB SEARCH
Granted: October 31, 2024
Application Number:
20240362360
A system and method implementing K-anonymity processing of a data record to protect sensitive information, while still revealing useful information. The system and method performing K-anonymity processing of categories in the data record, and choosing to mask the data of the category that produces the highest anonymity score. The system and method repeats the process until a K-value of the data record is achieved.
BI-DIRECTIONAL FEDERATION LINK FOR SEAMLESS CROSS-IDENTITY SSO
Granted: October 17, 2024
Application Number:
20240348595
A federation link is used to facilitate bi-directional identity federation between software applications. The federation link is created to include user and account identity information for software applications having respective authentication providers. The federation link is created by one of the software applications and shared, for example, with the authentication provider of the other software application. The federation link can be utilized by both software applications to…
QUALITY, AVAILABILITY AND AI MODEL PREDICTIONS
Granted: October 17, 2024
Application Number:
20240346602
A sequence of data entry screens are configured to collect the data from a user. The method and system receive data entered by a user into a data entry screen. The method and system then determine metrics of the collected data, and ranks the collected data and the data entry screens based on the determined metrics. The ranking is then used to display the next best screen in the sequence for collecting data.
MACHINE LEARNING PREDICTION OF TEXT TO HIGHLIGHT DURING LIVE AUTOMATED TEXT TRANSCRIPTION
Granted: October 17, 2024
Application Number:
20240346250
A method including transcribing, automatically, an ongoing stream of voice data into text phrases. The method also includes receiving an indication of a selected text phrase in the text phrases. The method also includes converting the selected text phrase to a selected phrase vector. The method also includes generating a subsequent text phrase, after the selected text phrase, from the ongoing stream of voice data, and adding the subsequent text phrase to the text phrases. The method also…
DYNAMICALLY RESTRICTING SOCIAL MEDIA ACCESS
Granted: October 3, 2024
Application Number:
20240333714
This disclosure relates to restricting access in a social network. The social network stores profile information for each of a plurality of users of the social network in a database. The social network receives, from a first user of the social network, a request to invite a second user to establish a connection with the first user. The social network transmits, to the first user, one or more questions pertaining to the profile information of the second user. The social network receives,…
