Abstract: In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, an electronic message addressed to an inbox of a user that comprises a confirmation of a transaction involving a platform, (ii) searching, by the processor, for an additional electronic message addressed to the inbox indicating an alteration applicable to the transaction, (iii) causing display, by the processor, of a prompt informing the user of the alteration applicable to the transaction, (iv) composing, by a large language model (LLM) executed by the processor, a potential electronic message to an operator of the platform requesting the alteration be retroactively applied to the transaction, and (v) in response to receiving user input regarding the potential electronic message, sending, by the processor, a subsequent electronic message to the operator of the platform requesting the alteration be retroactively applied to the transaction.

Abstract: The example embodiments are directed toward leveraging the power of large language models (LLMs) in a messaging application. In a first embodiment, LLMs are utilized to generate message content (both original and reply). In a second embodiment, LLMs are utilized to provide enhanced semantic search functionality. In a third embodiment, LLMs are utilized to provide intelligent actions to take based on message content.