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Why Turkish-first?

A short framing of why Devim treats Turkish as a starting condition of model research rather than a localization layer added later.

Status PublicPublished 1 min read120 wordsv1
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Language is not only an output format

In Devim, Turkish is not treated as a localization layer added to an English model. Data selection, tokenizer behavior, training distribution, evaluator design and generation form are studied together.

What are we trying to separate?

Poor sentence formation and poor relation binding are not the same failure. We therefore track at least two axes:

  • FORM: sentence construction, repetition, termination behavior and response form.
  • CONTENT: relation binding, instruction following, generalization and abstention when appropriate.

This separation helps diagnose the source of failure before scaling the model.

Research principle

Scale is not an explanation. Before increasing parameter count, we try to isolate data, evaluator and training-schedule failures through controlled tests.

PUBLICATION RECORDwhy-turkish-first
Version
v1
Evidence
0
Source
Git · en/research/why-turkish-first.md

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Turkish-firstmodel researchlanguage