Abstract: A method includes receiving a request to generate a first document; defining a plurality of segments for the first document based, at least in part, on the specification data; determining one or more relationships between one or more of the plurality of segments based, at least in part, on the specification data, determining one or more attributes for each of the plurality of segments based, at least in part, on the specification data; generating at least a portion of a prompt for each segment based, at least in part, on at least one of the one or more relationships and the one or more attributes; submitting the at least a portion of the prompt for each segment to at least one generative AI; receiving respective results from the at least one generative AI for each segment; and combining the respective results to generate the first document.

Abstract: This invention improves the results that a user receives from a generative artificial intelligence. It accomplishes this by learning about user preferences from various user data and activities. It then provides more meaningful requests to the artificial intelligence based on such data. These more meaningful requests produce more meaningful results for users.

Abstract: System and methods for machine learning are described. A first input value is obtained. A second input value is also obtained. A decision to use for generating a cycle output is selected based on a randomness factor. The decision is at least one of a random decision or a best decision from a previous cycle. A cycle output for the first and second inputs is generated using the selected decision. The selected decision and the resulting cycle output are stored.

Abstract: System and methods for machine learning are described. A first input value is obtained. A second input value is also obtained. A decision to use for generating a cycle output is selected based on a randomness factor. The decision is at least one of a random decision or a best decision from a previous cycle. A cycle output for the first and second inputs is generated using the selected decision. The selected decision and the resulting cycle output are stored.

Abstract: System and methods for machine learning are described. A first input value is obtained. A second input value is also obtained. A decision to use for generating a cycle output is selected based on a randomness factor. The decision is at least one of a random decision or a best decision from a previous cycle. A cycle output for the first and second inputs is generated using the selected decision. The selected decision and the resulting cycle output are stored.

Abstract: System and methods for machine learning are described. A first input value is obtained. A second input value is also obtained. A decision to use for generating a cycle output is selected based on a randomness factor. The decision is at least one of a random decision or a best decision from a previous cycle. A cycle output for the first and second inputs is generated using the selected decision. The selected decision and the resulting cycle output are stored.

Abstract: Systems and methods for synchronizing data between a communications management system and data management system. In some implementations, contact data may be requested from a data management system external to and/or operated by a distinct entity with respect to a communications management system. The requested contact data may be received at the communications management system and the communications management system may be used to establish a communication using at least one contact from the requested contact data. The requested contact data may be updated using data generated during the communication and then updated contact data may be transmitted to the data management system to synchronize the two systems.

Abstract: System and methods for machine learning are described. A first input value is obtained. A second input value is also obtained. A decision to use for generating a cycle output is selected based on a randomness factor. The decision is at least one of a random decision or a best decision from a previous cycle. A cycle output for the first and second inputs is generated using the selected decision. The selected decision and the resulting cycle output are stored.

Abstract: Systems and methods for synchronizing data between a communications management system and data management system. In some implementations, contact data may be requested from a data management system external to and/or operated by a distinct entity with respect to a communications management system. The requested contact data may be received at the communications management system and the communications management system may be used to establish a communication using at least one contact from the requested contact data. The requested contact data may be updated using data generated during the communication and then updated contact data may be transmitted to the data management system to synchronize the two systems.