the more I invoke an aws lex bot, the more it's trained ?

Training Data Differences: Even though the bots are deployed identically, there could be differences in the training data used for each bot during the initial training phase. Even small differences in the training data can lead to variations in bot behavior.

Regional Differences: AWS services may have slight variations or differences in behavior across different regions. While efforts are made to maintain consistency, there may be subtle differences in how Lex operates in the Virginia and Frankfurt regions.

Configuration or Settings: Check if there are any differences in the configuration or settings between the bots deployed in the Virginia and Frankfurt regions. This includes settings related to intents, slots, utterances, and fulfillment logic.

Language or Locale Differences: Ensure that the language and locale settings are consistent across both bots. Differences in language or locale settings can impact how the bot interprets and responds to user input.

**Versioning: **Verify that both bots are using the same version of the bot configuration and code. If there have been updates or changes made to one bot but not the other, it could result in different behavior.