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Kenny Chen｜AI 实战 on X: Jev 这个案例很适合小团队：2,300 篇 AI 论文，约 83 秒，成本 $0.14。 但这个数字不能直接当成 Jev 的单模型成本。旧标签先由 Deep
@KennyChinaTech@KennyChinaTechlisted 51m agoreviewed by JevJev 这个案例很适合小团队：2,300 篇 AI 论文，约 83 秒，成本 $0.14。 但这个数字不能直接当成 Jev 的单模型成本。旧标签先由 DeepSeek V4 Flash 跑过，真正该测的是整条分类链路：预处理、Jev 决策和人工抽检加起来还剩多少。 https://x.com/omarsar0/status/2102066232383979749 ❤️ 0 likes on X
- Author
- @KennyChinaTech
- Use case
- Documents & OCR
- Added
- 2026-09-25
- Cost
- $0.14
All figures come from the author. Check the source before you quote them.
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Jev guides for this use case
- How Jev sorts a build into one of 21 use casesThe 21 criteria Jev classifies against, published in full, plus what the reviewer sees and how ambiguity is handled.
- What people actually build with Jev, by use caseAll 21 use cases with live counts from real submissions, plus what each one is actually for.
- Is Jev reliable? The honest limitationsWhat the no-hallucination claim really covers, where the accuracy ceiling sits, and the failure mode we hit ourselves.
Bid history
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