This project will eventually have to determine the priority of the suggestion to return to the user based on the transcript, it also utilizes domain-specific languages (DSL) with ai throughout. The goal of this R&D is to determine if utilizing quorum (multiple AI vote), or just a single layer of review could help to significantly reduce issues in DSL format and suggestion priority accuracy.
So for example, we might use a domain specific language to communicate to the frontend via AI how it should be laid out with each response. A hallucination could result in a failure to correctly implement the domain-specific language. Determine how frequently that might happen, then determine if a quorem or review layer would affect the overall accuracy.
This project will eventually have to determine the priority of the suggestion to return to the user based on the transcript, it also utilizes domain-specific languages (DSL) with ai throughout. The goal of this R&D is to determine if utilizing quorum (multiple AI vote), or just a single layer of review could help to significantly reduce issues in DSL format and suggestion priority accuracy.
So for example, we might use a domain specific language to communicate to the frontend via AI how it should be laid out with each response. A hallucination could result in a failure to correctly implement the domain-specific language. Determine how frequently that might happen, then determine if a quorem or review layer would affect the overall accuracy.