CITATION — REFERENCE ENTRY
Jev means structured output is interesting again — seangoedecke.com
- Key
- goedecke2026structured
- Authors
- Goedecke, Sean
- Issued
- 2026-9-16
- Type
- post-weblog
- Container
- seangoedecke.com
Raw CSL JSON
{
"URL": "https://www.seangoedecke.com/jev-means-structured-output-is-interesting-again/",
"type": "post-weblog",
"title": "Jev means structured output is interesting again",
"author": [
{
"given": "Sean",
"family": "Goedecke"
}
],
"issued": {
"date-parts": [
[
2026,
9,
16
]
]
},
"accessed": {
"date-parts": [
[
2026,
11,
5
]
]
},
"language": "en",
"container-title": "seangoedecke.com"
}
Claims
-
Goedecke argues that ordinary LLMs can already give fast answers restricted to fixed options, reporting a two- to threefold speedup with a small open model, and calls the claim that Jev cannot hallucinate a semantic dodge, since it can still choose the wrong option.
"a semantic dodge"
-
Goedecke explains that Jev is fast because it does not write its answer token by token: it answers many questions in parallel in one pass through the model.
"it can produce answers to many questions in parallel in a single forward pass"
Available in