Large language models raise a lot of questions. Our engineers answer the ones we hear most often from business leaders.
“The right model is the one that fits your task, your budget and your data rules.” – AIgensy Team
Will an LLM make things up?
It can, which is why we ground answers in your own data, cite sources and test every system before launch.
Is our data safe?
Yes, when deployed correctly. We use private environments and providers that never train on your data.
Which model should we choose?
It depends on accuracy, speed, cost and privacy needs. We are model-agnostic and benchmark options for each use case.
Have a question we didn’t cover? Send it to our team and we’ll answer it in a future article.