3 ms·

Congratulations on launching! Trellis looks amazing... but only if it works well enough, i.e., if the rate of edge cases that trip up the service consistently

• macklinkachorn 2y ago
  Maintaining the right level of accuracy across different domain is quite hard and something we spend a lot of time on. The accuracy bar tends to be quite high for financial services so we're adding some validation steps and checking to make sure any errors get caught beforehand.
  • cs702 2y ago
    Thank you. Yes, I'm not at all surprised to hear that. The biggest challenge I see for you guys is that your best customer prospects, i.e., those organizations which need this most urgently and are willing to pay the most for it are the ones already spending gobs of money to do it with human labor because mistakes are too costly, so they need at least human-level performance. As you know, current-generation LLMs/LMMs are not yet reliable enough to do it on their own. They need all the help they can get -- sanity data checks, post-processing logic, ensembles of models, organization into teams of agents, etc., etc. -- I'm sure you're looking at all options. Absent human beings in the loop, you're at the frontier of LLM/LMM research. If you pull it off, you'll make megabucks.