Client parallel bot forecasting project #4495
Description
We engaged [redacted] Pros to forecast on a private project for [redacted] with [redacted] questions. As part of the process, they were instructed to make a list of all the key factors that contributed to their forecasts, these lists were combined/deduplicated, and then all Pros assigned importance ratings to each. All of these were shared with [redacted].
We are doing this parallel LLM project to find out if our forecasting bots can generate similar findings on a highly specialized commercial client project and to identify any specific gaps in their outputs or reasoning.
See more info here.