Jev system-one models shown at AI Engineer Code Summit
What happened
On November 12, Latent Space reported that Glean, UiPath and Workday showed applications and prototypes at that day's AI Engineer Code Summit that build Jev system-one models into software. These models do not generate text; they return structured choices, scores or probabilities, and are usually faster and cheaper than reasoning LLMs. Glean pairs Jev with LLMs and other classifiers, using its zero-shot flexibility to cut the repeated fine-tuning needed when decision categories change.
Written by AI from the coverage · updated 17 minutes ago
Coverage
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- Latent SpaceThe Jev Revolution: What Engineers Are Already Building with System One Models
在今天的 AI Engineer Code Summit 上，Glean、UiPath 和 Workday 展示了将 Jev 系统一模型融入软件的应用与原型。系统一模型不生成文本，而是返回结构化选择、分数或概率，通常比推理 LLM 更快、更便宜；Glean 将 Jev 与 LLM 和其他分类器配合使用，利用其零样本灵活性减少决策分类变化后的反复微调。
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