Automated analytical content generation using large language models

A system for automated analytical content generation, comprising:

• one or more processors;
• and
• a memory comprising instructions that, when executed by the one or more processors, cause the system to:
• receive data from one or more data sources;
• extract trends from the data using a heuristic algorithm;
• provide an input based on the extracted trends to a generative machine learning model that has been configured to generate content based on extracted trends;
• receive, from the generative machine learning model based on the input, content that represents the extracted trends;
• and
• display the content via a user interface.

A method of automated analytical content generation, comprising:

• receiving data from one or more data sources;
• extracting trends from the data using a heuristic algorithm;
• assigning a relevance score to the extracted trends based on weights associated with the heuristic algorithm, wherein the weights are determined through a reinforcement learning process;
• providing an input based on the extracted trends and the assigned relevance scores to a generative machine learning model that has been configured to generate content based on extracted trends;
• receiving, from the generative machine learning model based on the input, content that represents the extracted trends;
• and
• displaying the content via a user interface.