How ServiceNow's GenAI approach supports top-tier code
Another big difference between ServiceNow’s approach to Gen AI that I think is really important for all the people out there to really understand is that there's open models or general purpose large language models like Open AI and Microsoft Azure that are trained on all the data that's ever been out there in the ecosystem. Now we're taking a different approach. We're developing our own large language learning models that are based on the data that we've curated, that has been done on our instance. So our text-to-code looks at the code that we've written and that we think is our coding standards. So we've even done some head to head comparisons before we rolled out text-to-code. We actually let our developers internally take it for a drive and they did some head to head comparisons with Open AI. In our text-to-code, our recommendations we're about 45% more accurate, and if you think about it, that makes sense, right? Open AI is trained on all the code that's ever been written. There's a lot of bad code out there. You don't want to follow those best practices. Ours has been at a much higher standard.
https://www.youtube.com/watch?v=YbRVBbpwXkM