That depends. You can implement an error checking algorithm with the LLM itself to check for drift in meaning and loss of original context from version to versi

That depends. You can implement an error checking algorithm with the LLM itself to check for drift in meaning and loss of original context from version to version as you improve your training dataset, as well as measure performance as you train new versions of your LLM on that dataset.