Systems and methods for automatic generation of electronic activity content for record objects using machine learning architectures

A method comprising:

• identifying, by one or more processors, a plurality of electronic activities matched to a record object of a customer relationship management (CRM) system;
• generating, by the one or more processors by inputting a first set of text strings of one or more text strings obtained from the plurality of electronic activities into one or more large language models, (i) a first set of topics, (ii) a first set of references indicating one or more subsets of the first set of text strings, each subset of text strings corresponding to a different topic of the first set of topics, and (iii) an attribute for each of the first set of topics, each attribute for a topic indicating a level of relevance of the topic to the record object;
• generating, by the one or more processors by inputting a first subset of text strings of the first set of text strings corresponding to a first topic selected based on the level of relevance of the first topic and a second set of text strings of the one or more text strings into the one or more large language models, a second set of topics;
• and
• transmitting, by the one or more processors, one or more topics of the second set of topics to a computing device for presentation.