Jev: The AI Model That Doesn't Talk, It Just Decides

Jev: The AI Model That Doesn't Talk, It Just Decides

So, yesterday I was doomscrolling YouTube and came across a video by Harkirat Singh about the new System One Model Jev. After watching it, I thought I'd share my thoughts.

What Is Jev?

Jev is not an LLM. It is a classification model trained using a method called Reinforcement Learning for Calibrated Decisions (RLCD).

Difference Between LLMs and Jev

The biggest difference between an LLM and Jev is how they respond:

• A normal LLM gives answers to queries, sometimes with hallucinations.
• Jev only tells whether something is ok or not - yes or no, 0 or 1 - similar to classic classification models but in a structured manner without hallucinations.

Additionally, Jev is very fast and way cheaper than LLMs. More differences are listed on the System One blog.

Use Cases of Jev

Jev can be used for:

• AI automations where classification is required at certain points.
• Any application where a perfect classification or decision needs to be made with no room for wrong answers.
• Scenarios where the response needs to be faster and cheaper than what an LLM can provide.

More use cases are listed here.