VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
Adding the fact Verification Model in backend and frontend part.
It has been implemented the function to split the response of LLM in order to check the claim for the relative abstract.
In the frontend side, it has been implemented the resullts of Verification Model after the streaming of LLM.
Also the output of Verification has been streamed in order to gurantee a better user experience and to show the results of Verification model during the inference.
Restructure the backend slightly for improved readability and usability.
I want a confirm if the input of verification model is correct. The implementation has the following structure for the input to the verification model:
CLSCLAIMSEPABSTRACTSEP
Adding the fact Verification Model in backend and frontend part.
It has been implemented the function to split the response of LLM in order to check the claim for the relative abstract.
In the frontend side, it has been implemented the resullts of Verification Model after the streaming of LLM.
Also the output of Verification has been streamed in order to gurantee a better user experience and to show the results of Verification model during the inference.
Restructure the backend slightly for improved readability and usability.
I want a confirm if the input of verification model is correct. The implementation has the following structure for the input to the verification model:
CLSCLAIMSEPABSTRACTSEPCloses #12