MULTIPLE SUMMARY SELECTION SYSTEM
Granted: March 20, 2025
Application Number:
20250094732
A summary generation and summary selection system is disclosed that is capable of automatically evaluating multiple summaries generated for content and selecting a single summary that is deemed to be the “best” among the multiple generated summaries. The system includes capabilities to use multiple different selection techniques to select the best summary from multiple generated summaries. A first selection technique involves identifying entities and entity relationships from the…
AUTOMATIC SOAP NOTE GENERATION USING TASK DECOMPOSITION
Granted: March 20, 2025
Application Number:
20250095804
Techniques are disclosed for automatically generating Subjective, Objective, Assessment and Plan (SOAP) notes. Particularly, techniques are disclosed for automatic SOAP note generation using task decomposition. A text transcript is accessed and segmented into portions. The text transcript can correspond to an interaction between a first entity and a second entity. Machine-learning model prompts are used to extract entities and facts for the respective portions and generate SOAP note…
CONTEXT AWARE CHUNKING FOR AUTOMATIC SOAP NOTE GENERATION
Granted: March 20, 2025
Application Number:
20250095803
Techniques are disclosed for automatically generating Subjective, Objective, Assessment and Plan (SOAP) notes. Particularly, techniques are disclosed for identifying entities for automatic SOAP note generation. A text transcript is accessed and segmented into portions. The text transcript can correspond to an interaction between a first entity and a second entity. One or more entities for the respective portions are identified using one or more machine-learning models. Facts are from the…
AUTOMATED SOAP NOTE EVALUATION USING MACHINE LEARNING MODELS
Granted: March 20, 2025
Application Number:
20250095798
Techniques are disclosed for automatically evaluating SOAP notes. A method comprises accessing a Subjective, Objective, Assessment and Plan (SOAP) note and a checklist that includes checklist facts; using a first machine-learning model prompt to extract SOAP note facts from the SOAP note; using one or more second machine-learning model prompts to generate feedback for the SOAP note, the feedback indicating whether individual checklist facts are supported by at least one of the SOAP note…
MANAGING AMBIGUOUS DATE MENTIONS IN TRANSFORMING NATURAL LANGUAGE TO A LOGICAL FORM
Granted: March 20, 2025
Application Number:
20250095635
Techniques are disclosed herein for managing ambiguous date mentions in natural language utterances in transforming natural language utterances to logical forms by encoding the uncertainties of the ambiguous date mentions and including the encoded uncertainties in the logical forms. In a training phase, training examples including natural language utterances, logical forms, and database schema information are automatically augmented and used to train a machine learning model to convert…
Cross-Cluster Transaction Risk Assessment
Granted: March 20, 2025
Application Number:
20250094989
Techniques for providing cross-cluster transaction risk assessment are disclosed herein. In one embodiment, the system: obtains customer transaction data including a number of transaction details; clusters the customer transaction data into clusters of transactions; calculates a centroid for each cluster of transactions, corresponding to a mean value within the corresponding cluster; determines, for each transaction, a relationship score indicating the distance of the transaction from…
Virtual Card Transactions
Granted: March 20, 2025
Application Number:
20250094963
Techniques for managing secure virtual card number (VCN) transactions are disclosed. A POS terminal that processes payments receives an instruction in a secure digital communication over a network to process a payment from a customer to a supplier. Based on receiving a payment request via a network, the POS terminal identifies a VCN associated with the request. The POS terminal validates the VCN and processes the payment request. The POS terminal communicates the VCN to the supplier's…
AUTHENTICATED CUSTOMIZATION OF MACHINE-LEARNING MODELS
Granted: March 20, 2025
Application Number:
20250094804
Techniques are disclosed for providing an authenticated model customization for a machine-learning model. A cloud service provider platform accesses a message including, at least, timestamp data and user identification data. A training group of data entities is identified based on the data in the message. A training dataset is determined based on the training group of data entities. A machine-learning model is modified based on the training dataset. The modified machine-learning model is…
DETECTION AND HANDLING OF ERRORS IN INPUT AND OUTPUT TO AND FROM A LARGE LANGUAGE MODEL
Granted: March 20, 2025
Application Number:
20250094735
Techniques for enhanced chatbot interaction using various large language model providers are provided. In one aspect, a method may include generating a request payload having a common request body specification based on an utterance such that the common request body specification may be a standardized data input format used by a generative artificial intelligence (GenAI) interface for interacting with GenAI model providers. In various embodiments, the method may include converting the…
LARGE LANGUAGE MODEL HANDLING OUT-OF-SCOPE AND OUT-OF-DOMAIN DETECTION FOR DIGITAL ASSISTANT
Granted: March 20, 2025
Application Number:
20250094734
Techniques for using a LLM to detect OOS and OOD utterances. In one aspect, a method includes routing an utterance to a skill bot. The skill bot is configured to execute an action for completing a task associated with the utterance, and a workflow associated with the action includes a GenAI component state configured to facilitate completion of at least part of the task. The method further includes inputting a prompt into a GenAI model for processing. The prompt includes the utterance…
Intelligent Event Management
Granted: March 20, 2025
Application Number:
20250094249
Techniques for managing events that record occurrences in a computing environment are disclosed. The system identifies events, and the system applies event processing mechanisms to the events. The event processing mechanisms generate incidents to represent the events. The system presents an interface that demonstrates how the events are mapped to the incidents. A user may interact with the interface to modify the event processing mechanisms and/or define new event processing mechanisms.…
DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE
Granted: March 20, 2025
Application Number:
20250094725
Techniques are disclosed herein for implementing digital assistants using generative artificial intelligence. An input prompt comprising a natural language utterance and candidate agents and associated actions can be constructed. An execution plan can be generated using a first generative artificial model based on the input prompt. The execution plan can be executed to perform actions included in the execution plan using agents indicated by the execution plan. A response to the natural…
RETURNING REFERENCES FOR ANSWERS GENERATED BY A LANGUAGE MODEL
Granted: March 20, 2025
Application Number:
20250094717
Techniques are disclosed for returning references associated with an answer to a query. The techniques include accessing a text portion and identifying a plurality of sentences in the text portion. Each of the sentences is embedded to generate a respective plurality of text sentence embeddings. The text portion or a derivative thereof and a query are provided to a language model and a response to the query based on the text portion is received from the language model. A plurality of…
Generating Enhanced Queries Using Machine Learning Models
Granted: March 20, 2025
Application Number:
20250094504
Techniques for generating terms to replace an initial set of search terms for a query are disclosed. A system generates a training data set for training a machine learning model. Generating the training data set includes generating search value vectors for each of a set of labels based on sets of search values associated respectively with the labels in the set of labels. The system trains a machine learning model to predict a target label for a target search vector based on the set of…
DOCUMENT PROCESSING AND RETRIEVAL FOR KNOWLEDGE-BASED QUESTION ANSWERING
Granted: March 20, 2025
Application Number:
20250094480
Techniques are disclosed herein for generating and using a knowledge base of information extracted from documents. The techniques include accessing a document comprising text and dividing the document into a plurality of chunks of text. The chunks are indexed by storing each chunk mapped to respective identifying metadata including a chunk index for each chunk. A query is received and a chunk relevant to the query is identified. A prompt is formulated including the query, the identified…
STORAGE AND RETRIEVAL MECHANISMS FOR KNOWLEDGE ARTIFACTS ACQUIRED AND APPLICABLE ACROSS CONVERSATIONS
Granted: March 20, 2025
Application Number:
20250094466
Techniques are disclosed for storage and retrieval mechanisms for knowledge artifacts acquired and applicable across conversations to enrich user interactions with a digital assistant. In one aspect, a method includes receiving a natural language utterance form a user during a session between the user and the digital assistant and obtaining a topic context instance for the utterance. The obtaining includes executing a search, determining whether the utterance satisfies a threshold of…
EXECUTING AN EXECUTION PLAN WITH A DIGITAL ASSISTANT AND USING LARGE LANGUAGE MODELS
Granted: March 20, 2025
Application Number:
20250094465
Techniques are disclosed herein for executing an execution plan for a digital assistant with generative artificial intelligence (genAI). A first genAI model can generate a list of executable actions based on an utterance provided by a user. An execution plan can be generated to include the executable actions. The execution plan can be executed by performing an iterative process for each of the executable actions. The iterative process can include identifying an action type, invoking one…
KNOWLEDGE RE-RANKING TECHNIQUES
Granted: March 20, 2025
Application Number:
20250094464
Techniques are disclosed herein for selecting document chunks that are most relevant to a query. The techniques include receiving a query and comparing a plurality of stored text passages to the query using a first similarity metric. Based on the comparison, a subset of the plurality of stored text passages that are most similar to the query are selected. A plurality of sentences from the subset of the plurality of stored text passages are identified. The identified sentences are ranked…
Generating Recommendations Based On Predicted Query Execution Plan Performance
Granted: March 20, 2025
Application Number:
20250094421
Techniques for generating recommendations based on the predicted performance of an execution plan are disclosed. A system predicts the future characteristics of a set of data objects associated with a set of structured query language (SQL) statements. The system predicts how the changes to the set of data objects will result in changes to a query execution plan associated with the SQL statements. The system predicts a set of performance metrics for the changed query execution plan. Based…
ROUTING ENGINE FOR LLM-BASED DIGITAL ASSISTANT
Granted: March 20, 2025
Application Number:
20250094390
Techniques are disclosed herein for routing an utterance to action for a digital assistant with generative artificial intelligence. An input query comprising particular data can be received from a user. An action and a set of input argument slots within a schema associated with the action can be identified based on the input query. The input argument slots can be filled by determining whether one or more parameters are derivable from the particular data and filling the input argument…
