Utilizing digital page sequence tokens with large language models to generate digital content predictions

Abstract

This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilizes digital page sequence data with large language models (LLMs) to generate digital page navigation predictions for users. In some implementations, the disclosed systems leverage large language models with page sequence input prompts to predict page sequences in additional digital navigation sessions. Indeed, in one or more implementations, the disclosed systems tokenize page sequences from user navigation data and utilize the tokenized page sequences to generate input prompts to utilize with an LLM to generate page sequence predictions. Furthermore, in some instances, the disclosed systems train an LLM to predict page sequences using a page order agnostic loss. Indeed, in one or more implementations, the disclosed systems utilize the LLM to execute a wide variety of use cases by utilizing the predicted page sequences to select (or generate) digital content for client devices of users.

Dependencies are inferred from the claim text.