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best practice

Ensure Language Consistency in Multi-Lingual Outputs Using V3.2+ Updates

Leverage V3.2's Terminus updates to stop accidental language mixing in outputs.

Switch to the latest DeepSeek models (V3.1-Terminus or later) to benefit from optimized language consistency and reduced character errors in multi-lingual tasks.

DeepSeek

The Scenario

You are generating customer-facing documentation in a specific language and need to ensure the AI doesn't accidentally mix in other language characters or syntax.

Before & after

The old way

Users interacting in a specific language often find the AI slipping into 'Chinglish' or mixed-language responses. Manually translating or re-prompting to fix these errors takes 5-10 minutes.

With AI

By using the V3.2-Terminus upgrade, the AI maintains a strict single-language output based on the user's prompt. Reviewing and fixing language errors takes less than 1 minute.

The Prompt

[SYSTEM_PROMPT]: You are a professional translator. Respond strictly in [TARGET_LANGUAGE].
[USER_PROMPT]: Translate the following technical document and ensure no mixed-language artifacts remain: [PASTE_TEXT]

The V3.1-Terminus and subsequent V3.2 iterations specifically addressed 'language consistency,' significantly reducing the frequency of Chinese-English mixing and abnormal character generation.

Source

Change Log | DeepSeek API Docs
"Language consistency: Reduced occurrences of Chinese-English mixing and occasional abnormal characters."