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Going forward, the current business model (with caveat that pivots are always likely this early stage) is to train on companies' proprietary survey data so we c

Going forward, the current business model (with caveat that pivots are always likely this early stage) is to train on companies' proprietary survey data so we can estimate how their specific users respond to questions. In the backend, we check to see if the answers are stated in a high-quality survey and just retrieve that. I know we do this for gender, and I'm not sure whether that happens for presidential polling. Great idea, thank you. We're still figuring out whether the business model will be a general-purpose tool that anyone can use or those custom models I referenced above. If the former, your suggestion is spot on.

another-dave 3y ago
> Going forward, the current business model (with caveat that pivots are always likely this early stage) is to train on companies' proprietary survey data so we can estimate how their specific users respond to questions. I imagine cleaning customer data to get it to the point that it's inputtable will be a big job for you. Are you then creating individual models per customer? As in, if Coke are an existing customer of yours and Pepsi sign up, do they get access to a model that's partially trained on Coke data, or it's a case of your base model + "bring your own research"?
- timshell 3y ago
  > I imagine cleaning customer data to get it to the point that it's inputtable will be a big job for you. We're in the process of figuring that out. Hopefully that is another use case for LLMs :) > Are you then creating individual models per customer? As in, if Coke are an existing customer of yours and Pepsi sign up, do they get access to a model that's partially trained on Coke data, or it's a case of your base model + "bring your own research"? The latter, i.e. base model + "bring your own research"