devwithjev
i just shipped a small repo that will help you understand it perfectly.its a Real-time support triage + response bot using Jev and cerebras
https://t.co/l4gFvr0GdW
PS if you like it,approve my entry to the hackerhouse. I applied with rewantgoenka87076@gmail.com
Triage & routing
61 builds Β· page 2 of 2
exactly!! just shipped a real-time support triage + response bot using Jev and cerebras.
https://t.co/l4gFvr0GdW
youre right. For example in a support ticket jev can classify way faster that which agent should get the ticket. I built a Real-time support triage + response bot using Jev and cerebras
https://t.co/l4gFvr0GdW
just shipped a Real-time support triage + response bot using Jev and cerebras:
https://t.co/l4gFvr0GdW
this should help you get started!
I just built a Real-time support triage + response bot using Jev (from @typesafeai) and @cerebras
Jev routes the ticket to a specialist agent (general / account / billing / technical) and decides whether a human should take it instead ,Cerebras then drafts the reply using whichever agent Jev picked.
Repo: https://t.co/p6y4IQ2VhZ
@callmeshuklaji @communidiyi @hackgoofer @dgo_almeida @sydneyrunkle
Jev join the race π₯
Jev read the top 250 Hacker News stories
250 stories
2000 typed judgments in 16 seconds
cost: $0.0095
about AI 32%
Negative Tone: 41 ( 16% )
Built with Jev by @typesafeai https://t.co/RY3GiLTks9
0136X postsΒ·Triage & routingcostcost: $0.0095time2000 typed judgments in 16 secondsOriginal source β
I made an experimental model router for @pidotdev using Jev as the decision maker.
It's not a generic "pick a cheaper model" router. It isolates work into logical threads and prices cache reads/writes, cold context, expected output + the cost of switching back.
@CompleteSkeptic @typesafeai This wouldn't of been possible without Jev, it's an amazing primitive to make software with πͺπ»
Using Jev from @typesafeai to improve matching performance, accuracy and cost in our automated @blackbaud RE NXT CRM integration.
https://t.co/TVdfZOa3wI
Doc-OCR router using Jev @typesafeai
A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally.
Result: save cost on # OCR pages + speed https://t.co/ZjXqHSjSGh
my video on the routing tool blew up on YT!
i crossed 10k views in less than 19 hours, i still can't believe it - my most viewed video till date yayee
have been consistently doing YT and content in the ai space for last 7 months and finally get to feel thisπ
i built this tool yesterday called agent router using jev + herdr, i was awake until midnight doing recording, and publishing the video. today it feels all the efforts are worth it
Put together a quick video of using Jev with ReqLLM
I cover the new `evaluate/4` method, why I went that route, and make a real API call to Jev to classify an issue https://t.co/wvSoeI07AD
IRS O*NET job classification using Jev (1,016 possibilities)
Query: "I scoop scoops and sprinkle sprinkles"
Result: 35-3023.00 Fast Food and Counter Workers https://t.co/SSXUqQwNo3
I'm using Jev (from @typesafeai) to categorize expenses for my company! Our office manager used to do this. It's all in Mongolian and we have to do it using bank records.
It is very unique to our company, and not something a software would handle easily. We also have about a years worth of Excel files (training data) that I'm using to give Jev guidance on classification (few shot style).
It really works, it's stupidly cheap, and when it's not confident it says so. Pretty great!
This isn't anything new, classification in ML is extremely "solved". But this is a general classification model