Abstract: In various examples, a multimodal question answering tool generates multimodal answers to queries. For example, a machine learning model generates a text answer to a query, the text answer snippets are compared to text snippets from a source document to determine attribution. Based on the attribution, multimodal data is obtained from the document and used to generate a prompt that, as a result of being provided to the machine learning model, causes the machine learning model to generate a multimodal answer.

Abstract: Context-based prompt generation techniques for generative machine-learning models are described. In one or more examples, a user interface (UI) selection of a UI element of first digital content is received. A processing device captures contextual information associated with the UI selection. A machine-learning model generates a prompt based on the UI selection and the contextual information. Generative artificial intelligence (AI) generates second digital content based on the prompt. The generative AI is implemented using one or more machine-learning models. The processing device then presents the second digital content for display in a user interface.