Handshake uses post-training findings to identify data additions that may help models, such as image descriptions, investment-banker notes explaining financial models, and PDFs describing tax laws that models cannot find or understand on the web.

“And based on what we learn on this post-training, we can go back to the data team that Sahil leads and say like, "Hey, we think that all these images need to come with a description," or, "All these financial models need to come with notes from the investment banker saying what this re- represents," or maybe, "This tax law needs to come with like attached PDFs that just describe this tax law because the models cannot find this or they get confused on the web."”