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jevPOST

Jev 的 9 个落地场景清单

列出 Jev 可做的九件事:重排序、工具裁剪、模型路由、查询路由、缓存准入与 TTL、RAG 过滤、人工升级、动作选择。

Amit Shekhar
@amitiitbhu2026.09.19收录原推发布于 2026.09.18
Amit Shekhar @amitiitbhu原推发布于 2026.09.18
在 X 上打开原推

9 use cases for Jev (System 1 Model): - Re-ranking: Score and reorder retrieved results by relevance. - Tool pruning: Drop unused tools during context compaction. - Model routing: Route tasks to small, medium, or large LLMs. - Query routing: Decide between SQL, Vector DB, or Graph DB. - Cache admission: Filter which responses are worth caching. - Cache TTL prediction: Estimate how long cached results stay valid. - RAG retrieval control: Gate irrelevant retrieved documents. - Human escalation: Know when to hand off from AI to a human. - Action selection: Score and pick the best next agent action.

x.com/amitiitbhu/status/2100839449576030414采集于 2026.09.19 10:16