Document-based presentation generation

A method of training a machine learning model, the method comprising:

• obtaining a source document;
• generating, using a language generation model, a topic description that conforms to a complexity preference of a user by performing a self-attention mechanism on a sequence of tokens based on the source document;
• computing an objective function that computes a percentage of technical words in the topic description or a percentage of technical sections;
• and
• updating the language generation model based on the objective function.

An apparatus comprising:

• at least one processor;
• at least one memory including instructions executable by the at least one processor;
• a language generation model comprising parameters stored in the at least one memory and trained to generate a topic description that conforms to a complexity preference of a user by performing a self-attention mechanism on a sequence of tokens based on a source document and a user characteristic, wherein the language generation model is trained based on an objective function that computes a percentage of technical words in the topic description or a percentage of technical sections;
• and
• a clustering model comprising parameters stored in the at least one memory and trained to cluster a plurality of sentences of the source document to obtain a plurality of clustered sentences corresponding to the topic description.