Abstract: A technique executes tasks using a data store of machine-trained models. The data store specifically includes a subset of encoder-type machine-trained models for converting input data items having different input data types into respective embeddings in a vector space, and a subset of decoder-type machine-trained models for converting embeddings in the same vector space into data items having respective different output data types. When executing a particular task that involves one or more data types, the technique selects one or more machine-trained models that match those data types. In some implementations, the technique provides a clipboard store for storing embeddings produced by the encoder-type machine-trained models and consumable by the decoder-type machine-trained models. The technique includes provisions for ensuring that any decoder-type machine-model is capable of processing embeddings produced by different versions of the encoder-type machine-trained models.

Abstract: Examples described herein generally relate to a computer device including display, a memory, and at least one processor configured to render content modules to the display. The processor determines a display size of the display on which the content is to be rendered. The processor determines a priority of each of the multiple content modules. The processor determines, for each content module, display capabilities including one or more numbers of columns that the content module can span at the display size. The processor scores each layout of a first set of multiple layouts of the multiple content modules based on at least a priority, a number of columns, and unused space of the layout. The processor generates instructions for rendering the multiple content modules to the display at the display size according to the one layout of the multiple layouts with a best score.

Abstract: Examples described herein generally relate to a computer device including display, a memory, and at least one processor configured to render content modules to the display. The processor determines a display size of the display on which the content is to be rendered. The processor determines a priority of each of the multiple content modules. The processor determines, for each content module, display capabilities including one or more numbers of columns that the content module can span at the display size. The processor scores each layout of a first set of multiple layouts of the multiple content modules based on at least a priority, a number of columns, and unused space of the layout. The processor generates instructions for rendering the multiple content modules to the display at the display size according to the one layout of the multiple layouts with a best score.