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Geek Lite on X: 把本地 MLX 推理的 Laya 模型和托管 API 的 Jev 放在同一个 T-Rex 跑酷赛道上对打，用延迟、存活和回放数据对比本地推理与云 API。
@QingQ77@QingQ77listed 45m agoreviewed by Jev把本地 MLX 推理的 Laya 模型和托管 API 的 Jev 放在同一个 T-Rex 跑酷赛道上对打，用延迟、存活和回放数据对比本地推理与云 API。 https://github.com/virajbhartiya/laya-vs-jev ❤️ 6 likes on X
- Author
- @QingQ77
- Use case
- Games & Real Time
- Added
- 2026-09-25
All figures come from the author. Check the source before you quote them.
More in Games & Real Time
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- Koimiao🐈 on X: We built a Stanford Town powered by Jev.▲ 0x.com
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Jev guides for this use case
- Jev in the agent loop: routing, guardrails, contextRouting, tool-call guardrails and context compaction — the three places a decision model earns its keep inside an agent.
- Jev vs LLM: a decision model is not a smaller text modelWhy a decision model and a text model aren't substitutes, where the boundary sits, and the cost math.
- Is Jev reliable? The honest limitationsWhat the no-hallucination claim really covers, where the accuracy ceiling sits, and the failure mode we hit ourselves.
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