Abstract: Information indicative of a first user input to a data analytics application is received. The first user input selects a plurality of data elements. A first task for a machine-learned model to perform with the plurality of data elements is identified from a plurality of candidate tasks. A first prompt corresponding to the first task is retrieved from a plurality of prompts associated with the plurality of candidate tasks, wherein the first prompt instructs the machine-learned model to perform one or more first actions to complete the first task. The first prompt and the plurality of data elements are processed with the machine-learned model to generate a model output, wherein the model output comprises information indicative of a plurality of categories and category assignment information that assigns the plurality of data elements to the plurality of categories. The model output is sent to the data analytics application.

Abstract: Information indicative of a first user input to a data analytics application is received. The first user input selects a plurality of data elements. A first task for a machine-learned model to perform with the plurality of data elements is identified from a plurality of candidate tasks. A first prompt corresponding to the first task is retrieved from a plurality of prompts associated with the plurality of candidate tasks, wherein the first prompt instructs the machine-learned model to perform one or more first actions to complete the first task. The first prompt and the plurality of data elements are processed with the machine-learned model to generate a model output, wherein the model output comprises information indicative of a plurality of categories and category assignment information that assigns the plurality of data elements to the plurality of categories. The model output is sent to the data analytics application.

Abstract: A sample processing arrangement for processing a fluidic sample, the sample processing arrangement including a sample holder for accommodating the fluidic sample, an apparatus having a rotor mechanism and being configured for selectively operating the sample holder in an orbital motion mode for sample mixing, particularly for shaking, or in a rotary motion mode for sample separation, particularly for centrifuging, a mounting platform having a central portion on which the apparatus and the sample holder are mounted and having a surrounding portion circumferentially surrounding the central portion, and a plurality of module accommodation positions circumferentially distributed in the surrounding portion to surround the rotor mechanism and the sample holder, wherein each of the module accommodation positions is configured for detachably accommodating a selectable one of a plurality of sample processing modules, each being configured for fulfilling an assigned sample processing task, by accommodating the respecti

Abstract: A sample processing arrangement for processing a fluidic sample, the sample processing arrangement including a sample holder for accommodating the fluidic sample, an apparatus having a rotor mechanism and being configured for selectively operating the sample holder in an orbital motion mode for sample mixing, particularly for shaking, or in a rotary motion mode for sample separation, particularly for centrifuging, a mounting platform having a central portion on which the apparatus and the sample holder are mounted and having a surrounding portion circumferentially surrounding the central portion, and a plurality of module accommodation positions circumferentially distributed in the surrounding portion to surround the rotor mechanism and the sample holder, wherein each of the module accommodation positions is configured for detachably accommodating a selectable one of a plurality of sample processing modules, each being configured for fulfilling an assigned sample processing task, by accommodating the respecti