Jeva: System One Models from First Principles
We introduce Jeva, a decision-native architecture that addresses these requirements jointly.
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Key points
- System one models enable direct, low-latency decision-making.
- Yet recent practice of predicting an answer from serialized text does not, by itself, respect the structure of a decision problem.
- We argue that current designs underemphasize four important structural requirements. (i) null-aware: Models should distinguish answer absence from uncertainty among candidates; (ii) permutation-invariant: Reordering alternatives should not change the decision; (iii) option-scalable: Growing candidate sets should not require redefining the output space; (iv) cacheable: Request-independent computation over recurring alternatives should be reusable across requests.
- A shared encoder independently represents the request and each option, while a compact decision stack refines only the request state against immutable option memory.
Sources (2)
- [1]Jeva: System One Models from First PrinciplesHugging Face Daily Papers · Oct 13, 12:00 AM
We introduce Jeva, a decision-native architecture that addresses these requirements jointly.
System one models enable direct, low-latency decision-making.
- [2]Jeva: System One Models from First PrinciplesarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 13, 05:31 PM · same content
Extractive summary: sentences quoted from the sources.