Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
A Kanban View of How Jev API Decomposes Tasks and Makes Decisions
The author uses a simple kanban to show how Jev API decomposes tasks and makes decisions, suggesting Jev plus ChatGPT can build a small agent workflow.
这个简单的看板，可以直观的理解Jev API是怎么拆解任务并作出判断的。 这么看Jev+ChatGPT，基本可以搭建一个小型的Agent Workflow了。
· 4 likesOpen on X
More like this
Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
