Systems and methods for generating synthetic data using computer-simulated personas and machine learning-based persona selection

A method comprising:

• at a synthetic discourse data service (discourse service) implemented as a microservices-based, application programming interface (API) application deployed on a cloud computing infrastructure and executed by one or more processors in a distributed computing environment:
• receiving, via an API endpoint of the microservices-based API-based application, discourse input data from a client device, the discourse input data comprising a natural language utterance;
• generating, using an embedding generation model executed on a graphical processing unit (GPU)-accelerated computing environment, an embedding vector representation of the discourse input data;
• identifying, by the one or more computers executing the microservices-based API-based application, a set of candidate computer-simulated personas by retrieving persona data from a vector database implementing approximate nearest neighbor (ANN) search, wherein each computer-simulated persona of the set is associated with a distinct persona dataset stored in a persona data repository;
• extracting, in real-time, a subset of personas from the set of candidate computer-simulated personas based on computing a cosine similarity score between the embedding vector representation of the discourse input data and a persona embedding vector representation associated with each computer-simulated persona of the set of candidate computer-simulated personas, and dynamically selecting the subset of personas based on identifying candidate personas having a similarity score that satisfies or does not exceed a maximum vector distance threshold;
• computing, by the one or more computers executing the microservices-based API-based application, a discourse activation value for each candidate persona of the subset of personas, wherein the discourse activation value indicates a degree of interest of a given computer-simulated persona in engaging in a given virtual discourse associated with the discourse input data;
• selectively instantiating, by a batch processing framework executed within the microservices-based API-based application, an engagement subset of personas of the subset of personas based on selecting to the engagement subset of personas multiple candidate personas of the subset of personas having a given discourse activation value satisfying or exceeding persona launching conditions;
• executing a reinforcement learning-driven discourse generation model that:
• automates a simulated discourse session between the computer-simulated personas of the engagement subset of personas, and generates a corpus of synthetic discourse data based on recording to a computer memory discourse data observed during the simulated discourse session between the computer-simulated personas of the engagement subset of personas;
• selectively transmitting, via an event-driven API response within the microservices-based API-based application, at least a part of the corpus of synthetic discourse data to an interactive graphical user interface (GUI) of the client device, wherein data transmission is optimized using WebSocket streaming or RESTful API communication, based on receiving an input command signal from a user-selected GUI object requesting the part of the corpus of synthetic discourse data.

A system for generating automated discourse data using computer-generated synthetic personas, the system comprising:

• a distributed computing network comprising one or more computers executing an application programming interface (API)-based application implementing a synthetic discourse data service;
• one or more processors configured to execute the API-based application and perform operations including:
• a communication interface that:
• receives, via an API endpoint of the API-based application, discourse input data from a client device, the discourse input data comprising a natural language utterance;
• transmits at least a part of a corpus of synthetic discourse data to an interactive graphical user interface (GUI) of the client device via an API response, wherein the corpus of synthetic discourse data is selectively retrieved from a computer memory based on receiving an input command signal from a user-selected GUI object requesting the part of the corpus of synthetic discourse data;
• a graphics processing unit (GPU)-accelerated embedding generation module that:
• generates an embedding vector representation of the discourse input data;
• a persona selection module comprising a vector database storing persona datasets, wherein each computer-simulated persona of a set of candidate computer-simulated personas is associated with a distinct persona dataset stored in a persona data repository, the persona selection module that:
• retrieves persona data from the vector database;
• computes in real-time a persona relevance for each candidate persona based on computing a vector distance between the embedding vector representation of the discourse input data and a persona vector representation associated with each computer-simulated persona;
• dynamically selects a subset of personas based on identifying candidate personas having a vector distance that satisfies or does not exceed a maximum vector distance threshold;
• a discourse activation module that:
• computes a discourse activation value for each candidate persona of the subset of personas, wherein the discourse activation value indicates a degree of interest of a given computer-simulated persona in engaging in a virtual discourse associated with the discourse input data;
• a batch processing framework that:
• selectively instantiates an engagement subset of personas from the subset of personas based on selecting multiple candidate personas having a discourse activation value satisfying or exceeding persona launching conditions;
• a simulated discourse generation module that:
• executes a computer simulation environment that automates a simulated discourse session between the computer-simulated personas of the engagement subset of personas;
• and
• generates the corpus of synthetic discourse data based on recording to the computer memory discourse data observed during the simulated discourse session between the computer-simulated personas of the engagement subset of personas.