Abstract: Various embodiments of the technology described herein cause an LLM to intelligently process data based on a user query and a schema determined for a data set. Certain embodiments programmatically leverage an LLM and utilize its output based on a user query. In this manner, data is processed without the LLM having to access an entire data set, and instead only utilizes information associated with the user query and the schema. The schema comprises a textual description, such as a string of alphanumeric characters, that describes the data, data types, and/or data structure of the data set. Embodiments of the technology described herein are performed by an LLM interface layer separate from a user device layer and an LLM layer. The LLM interface layer is positioned between an LLM abstraction layer and an application layer by which a user can interface with the LLM interface layer.

Abstract: Technology is disclosed for controlling the processing of electronic communications on computing devices. An electronic communication is processed to determine mentions in the message body indicating recipients of the communication. A point-of-view (POV) is determined for each mention, with respect to recipient(s), as second-person or third-person POV. The communication is parsed into sections, and the mentions that are associated with each section are determined. Based on the POV for a mention associated with a section, it is determined that the section is directed to the recipient(s) indicated by the mention, if the POV of the mention is second-person POV, or the section is relevant to the recipient(s) indicated by the mention, if the POV of the mention is third-person POV. Additionally, an enhanced communication data is generated indicating the sections and corresponding POVs of mentions associated with the sections, and used to provide a personalized computing experience to users.

Abstract: Technology is disclosed for controlling the processing of electronic communications on computing devices. An electronic communication is processed to determine mentions in the message body indicating recipients of the communication. A point-of-view (POV) is determined for each mention, with respect to recipient(s), as second-person or third-person POV. The communication is parsed into sections, and the mentions that are associated with each section are determined. Based on the POV for a mention associated with a section, it is determined that the section is directed to the recipient(s) indicated by the mention, if the POV of the mention is second-person POV, or the section is relevant to the recipient(s) indicated by the mention, if the POV of the mention is third-person POV. Additionally, an enhanced communication data is generated indicating the sections and corresponding POVs of mentions associated with the sections, and used to provide a personalized computing experience to users.

Abstract: Computerized systems and methods are provided for automatically detecting an indication that a task has been completed and associated user interface functionality. These systems and methods improve existing technologies by automatically detecting indications that tasks have been completed via new logic or rules and improving the functionality and computing resource consumption relative to existing machine learning models. These systems also improve the way computers operate by reducing computing resource consumption, such as memory, network latency, I/O, and the like.

Abstract: Computerized systems and methods are provided for automatically detecting an indication that a task has been completed and associated user interface functionality. These systems and methods improve existing technologies by automatically detecting indications that tasks have been completed via new logic or rules and improving the functionality and computing resource consumption relative to existing machine learning models. These systems also improve the way computers operate by reducing computing resource consumption, such as memory, network latency, I/O, and the like.

Abstract: Technology is disclosed for controlling the processing of electronic communications on computing devices. An electronic communication is processed to determine mentions in the message body indicating recipients of the communication. A point-of-view (POV) is determined for each mention, with respect to recipient(s), as second-person or third-person POV. The communication is parsed into sections, and the mentions that are associated with each section are determined. Based on the POV for a mention associated with a section, it is determined that the section is directed to the recipient(s) indicated by the mention, if the POV of the mention is second-person POV, or the section is relevant to the recipient(s) indicated by the mention, if the POV of the mention is third-person POV. Additionally, an enhanced communication data is generated indicating the sections and corresponding POVs of mentions associated with the sections, and used to provide a personalized computing experience to users.