Unless you have been off LinkedIn or social media, you must be knowing Jev is a system one AI model that helps in decision making.
You also be knowing that you dont have to replace LLMs but use Jev to offload LLM’s decision making capabilities to it.
However, there are still scenarios where Jev can’t/ shouldn’t be used
- Not for complex reasoning
You still need LLMs for that
- Jev’s accuracy is still not independently established
Remember its still an AI model. So if its assigning 90% score, how do you know that’s correct. Calibration ≠ correctness, right?
TypeSafe is itself recommending validating Jev against your own labelled data and calibrating thresholds for your use case.
- Everything is closed source
So, all those privacy/ data confidentiality concerns still apply
Definitely, Jev is technically interesting, but just wait for sometime to get it validated before you make changes to your architecture.
