CASE FILE / Model & agent routing

I gave an evolution simulation to Jev, a small model from @typesafeai th…

I gave an evolution simulation to Jev, a small model from @typesafeai that answers typed questions with odds instead of writing text. Two species with opposite DNA. 14 generations. An ice age. 432 creatures. Jev decided who survived, who mated, and what killed each one. https://t.co/Law8fyfy6d

By Chizi @chiziaruhoma

● ● ●CASE FILEGUIDE

Chizi · @chiziaruhoma

Original post

I gave an evolution simulation to Jev, a small model from @typesafeai that answers typed questions with odds instead of writing text. Two species with opposite DNA. 14 generations. An ice age. 432 creatures. Jev decided who survived, who mated, and what killed each one. https://t.co/Law8fyfy6d

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Chinese translation

我向Jev进行了进化模拟，Jev是@typesafeai的一个小模型，可以用赔率回答输入的问题，而不是写文本。两个DNA相反的物种。14代人。冰河时代。432个生物。杰夫决定了谁幸存、谁交配以及是什么杀死了每个人。https://t.co/Law8fyfy6d

What this case shows

Let JEV choose the model or tool first
Auto-route on high confidence, escalate otherwise
This is the most common production pattern