Automated Scoring Model Documentation Parser

Automated Scoring Model Documentation Parser allows for quantitative evaluation, as the number of topics is limited and comparable across summaries. It focuses on the key components of the text and ignores irrelevant information. Finally, it makes semantic comparison easier, which will make the final approach more robust than relying on exact word matches.

Technical feature strategy to improve the Model Document Parser is the methodology of Optimizing Model Document Parser.

Second techinal feature strategy is empirically compare approaches for using our metric for prompt engineering with the methodology of Prompt engineering

Integration API available

Engineering large industry and SME

Commercial Use Licensing