Continuous updating of language models

Continuous updating of language models

Large language models can be updated continuously by establishing a systematic follow-up and update mechanism so that, for example, new clinical guidelines, updated data, and changes in professional terminology can be quickly incorporated into the model. This can, for example, involve regular updates through continuous learning or periodic fine-tuning.

A feedback loop with clinical expertise can also be established, for example by including a mechanism for continuous feedback from health personnel using the model. The feedback is used to identify any errors or outdated recommendations so that the model can be revised and improved in line with current professional knowledge and practice.