Abstract: In one implementation, a method of generating content is performed at a device having one or more processors and non-transitory memory. The method includes obtaining a database including a plurality of elements. The method includes generating a prompt to select one of the plurality of elements that satisfies one or more criteria regarding a topic of interest. The method includes submitting the prompt to a foundational model trained on a training dataset. The method includes receiving, from the foundational model in response to the prompt, content including a selected one of the plurality of elements.

Abstract: In one implementation, a method of displaying event representations based on a user input is performed at a device including an input device, a display, a processor, and non-transitory memory. The method includes obtaining event data regarding a plurality of events associated with a first user. The method includes obtaining a first plurality of event representations respectively associated with a first subset of the plurality of events. The method includes displaying, on the display, the first plurality of event representations and a path representation traversing the first plurality of event representations. The method includes detecting, via the input device, a user input. The method includes, in response to detecting the user input, obtaining a second plurality of event representations respectively associated with a second subset of the plurality of events and displaying, on the display, the second plurality of event representations.

Abstract: A hardware accelerator 2 for performing queries into, for example, an indexed text log files is formed of plurality of hardware execution units (text engines) 4, each executing a partial query program upon the same full set of input data. These partial query programs may switch between different query algorithms on up to a per-character basis. The sequence of data when loaded into a buffer memory 16 for querying may be searched for delimiters as the data is loaded. The hardware execution units may support a number match program instruction which serves to identify a numeric variable, and to determine a value of that numeric variable located at a variable position within a sequence of characters being queried.

Abstract: A hardware accelerator 2 for performing queries into, for example, an indexed text log files is formed of plurality of hardware execution units (text engines) 4, each executing a partial query program upon the same full set of input data. These partial query programs may switch between different query algorithms on up to a per-character basis. The sequence of data when loaded into a buffer memory 16 for querying may be searched for delimiters as the data is loaded. The hardware execution units may support a number match program instruction which serves to identify a numeric variable, and to determine a value of that numeric variable located at a variable position within a sequence of characters being queried.

Abstract: A hardware accelerator 2 for performing queries into, for example, an indexed text log files is formed of plurality of hardware execution units (text engines) 4, each executing a partial query program upon the same full set of input data. These partial query programs may switch between different query algorithms on up to a per-character basis. The sequence of data when loaded into a buffer memory 16 for querying may be searched for delimiters as the data is loaded. The hardware execution units may support a number match program instruction which serves to identify a numeric variable, and to determine a value of that numeric variable located at a variable position within a sequence of characters being queried.