Method and electronic device with kernel combination determination

An electronic device comprising:

• one or more processors comprising processing circuitry;
• and
• memory comprising one or more storage media storing instructions that, when executed individually or collectively by the one or more processors, cause the electronic device to:
• determine one or more kernel combinations corresponding to time-series data based on information output by inputting the time-series data, information on a predetermined kernel combination, and first prompt information into a first visual language model (VLM);
• determine an optimized parameter set from one or more parameter sets, for each of the one or more kernel combinations;
• input one or more graphs corresponding to the optimized parameter set into a second VLM, for each of the one or more kernel combinations;
• determine one or more scores for each of the one or more kernel combinations based on an output generated by the inputting of the one or more graphs into the second VLM;
• and
• determine, in response to the one or more scores being determined, a recommended kernel combination from the one or more kernel combinations based on the one or more scores, by executing the instruction.

A processor-implemented method comprising:

• determining context information based on time-series data, information on a predetermined kernel combination, and first prompt information;
• determining analytical information by inputting the context information to a first visual language model (VLM), in response to a length of the context information being less than a predetermined maximum context length;
• updating the context information based on either one or both of the analytical information and observation information, depending on whether the analytical information is included in a language space or a code space;
• and
• determining one or more kernel combinations corresponding to the time-series data based on the updated the context information.