CASE FILE / Model & agent routing
I just built Easy-Jev, a Jev demo anyone can try right now
I just built Easy-Jev, a Jev demo anyone can try right now! Change the inputs and watch the classifications change in real time. I did my master's thesis on classification models so it's fun to see a modernized version of a very useful alg Typesafe are correct in that LLMs are just one approach to intelligence, and I think as time goes forward we’re going to see a hybrid of dif models splitting up and allocating correct parts of a problem, using less tokens overall and leaning on LLMs for less of the answer. I’m bullish on what I call 'combination input' approaches: breaking a statement down into a series of classifications and routing each to the right type of model rather than just brute forcing the whole thing with an LLM cc / @CompleteSkeptic @typesafeai Link below, please enjoy
Original post
I just built Easy-Jev, a Jev demo anyone can try right now! Change the inputs and watch the classifications change in real time. I did my master's thesis on classification models so it's fun to see a modernized version of a very useful alg Typesafe are correct in that LLMs are just one approach to intelligence, and I think as time goes forward we’re going to see a hybrid of dif models splitting up and allocating correct parts of a problem, using less tokens overall and leaning on LLMs for less of the answer. I’m bullish on what I call 'combination input' approaches: breaking a statement down into a series of classifications and routing each to the right type of model rather than just brute forcing the whole thing with an LLM cc / @CompleteSkeptic @typesafeai Link below, please enjoy
Chinese translation
我刚刚构建了Easy-Jev，一个任何人现在都可以尝试的Jev演示！ 更改输入并实时查看分类变化。 我的硕士论文是关于分类模型的，所以看到非常有用的算法的现代化版本很有趣 Typesafe是正确的，因为LLM只是智能的一种方法，我认为随着时间的推移，我们将看到dif模型的混合体分解和分配问题的正确部分，总体使用更少的代币并依赖LLM来获得更少的答案。 我看好我所谓的“组合输入”方法：将一个陈述分解为一系列分类，并将每个分类路由到正确类型的模型，而不是仅仅用LLM强行执行整个过程 抄送/ @CompleteSkeptic @typesafeai 下面的链接，请欣赏
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