CalibratedDecisions.

Guide · Guides & docs

LLMs vs. Jev, clearly explained

Akshay Pachaar: Jev does not generate text at all.

Open x.com ↗
Akshay 🚀 @akshay_pachaar

LLMs vs. Jev, clearly explained!

TL;DR

The key difference is not that Jev generates faster.

Jev does not generate text at all.

A traditional LLM receives context and produces an answer one token at a time. Even when the output is a small JSON object, every token depends on

Video from the post

How builders describe it

Akshay Pachaar: Jev does not generate text at all. It answers Choice, Score and Noul questions in parallel, and your code owns the thresholds.

The decision Jev makes

Where to start: the quickstart, the decision primitives and the patterns.

Where it fits

The official starting points plus the best explainers, videos and articles about Jev and RLCD. All 342 guides & docs projects →

Related projects