| Prio | Original string | Translation | — |
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| Mobile Menu | āĻŽā§āĻŦāĻžāĻāϞ āĻŽā§āύ⧠| Details | |
| All Departments | āϏāĻāϞ āĻŦāĻŋāĻāĻžāĻ | Details | |
| Main Menu | āĻŽā§āϞ āĻŽā§āύ⧠| Details | |
| Connection block | āϏāĻāϝā§āĻ āĻŦā§āϞāĻ | Details | |
| Restore default settings | āĻĄāĻŋāĻĢāϞā§āĻ āϏā§āĻāĻŋāĻāϏ āĻĒā§āύāϰā§āĻĻā§āϧāĻžāϰ āĻāϰā§āύ | Details | |
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Restore default settings āĻĄāĻŋāĻĢāϞā§āĻ āϏā§āĻāĻŋāĻāϏ āĻĒā§āύāϰā§āĻĻā§āϧāĻžāϰ āĻāϰā§āύ
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| Can not get settings list | āϏā§āĻāĻŋāĻāϏ āϤāĻžāϞāĻŋāĻāĻž āĻĒāĻžāĻā§āĻž āϝāĻžāĻā§āĻā§ āύāĻžāĨ¤ | Details | |
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Can not get settings list āϏā§āĻāĻŋāĻāϏ āϤāĻžāϞāĻŋāĻāĻž āĻĒāĻžāĻā§āĻž āϝāĻžāĻā§āĻā§ āύāĻžāĨ¤
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| How much to penalize new tokens based on whether they appear in the text so far. Increases the model's likelihood to talk about new topics. | āύāϤā§āύ āĻā§āĻā§āύāĻā§āϞāĻŋ āĻāĻāύ āĻĒāϰā§āϝāύā§āϤ āϞā§āĻāĻžāϝāĻŧ āĻāĻĒāϏā§āĻĨāĻŋāϤ āĻšāϝāĻŧā§āĻā§ āĻāĻŋāύāĻž āϤāĻžāϰ āĻāĻĒāϰ āĻāĻŋāϤā§āϤāĻŋ āĻāϰ⧠āĻāϤ āĻāϰāĻŋāĻŽāĻžāύāĻž āĻāϰāĻž āĻāĻāĻŋāϤāĨ¤ āĻŽāĻĄā§āϞā§āϰ āύāϤā§āύ āĻŦāĻŋāώāϝāĻŧ āύāĻŋāϝāĻŧā§ āĻāĻĨāĻž āĻŦāϞāĻžāϰ āϏāĻŽā§āĻāĻžāĻŦāύāĻž āĻŦā§āĻĻā§āϧāĻŋ āĻāϰā§āĨ¤ | Details | |
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How much to penalize new tokens based on whether they appear in the text so far. Increases the model's likelihood to talk about new topics. āύāϤā§āύ āĻā§āĻā§āύāĻā§āϞāĻŋ āĻāĻāύ āĻĒāϰā§āϝāύā§āϤ āϞā§āĻāĻžāϝāĻŧ āĻāĻĒāϏā§āĻĨāĻŋāϤ āĻšāϝāĻŧā§āĻā§ āĻāĻŋāύāĻž āϤāĻžāϰ āĻāĻĒāϰ āĻāĻŋāϤā§āϤāĻŋ āĻāϰ⧠āĻāϤ āĻāϰāĻŋāĻŽāĻžāύāĻž āĻāϰāĻž āĻāĻāĻŋāϤāĨ¤ āĻŽāĻĄā§āϞā§āϰ āύāϤā§āύ āĻŦāĻŋāώāϝāĻŧ āύāĻŋāϝāĻŧā§ āĻāĻĨāĻž āĻŦāϞāĻžāϰ āϏāĻŽā§āĻāĻžāĻŦāύāĻž āĻŦā§āĻĻā§āϧāĻŋ āĻāϰā§āĨ¤
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| Presence penalty | āĻāĻĒāϏā§āĻĨāĻŋāϤāĻŋāϰ āĻļāĻžāϏā§āϤāĻŋ | Details | |
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Presence penalty āĻāĻĒāϏā§āĻĨāĻŋāϤāĻŋāϰ āĻļāĻžāϏā§āϤāĻŋ
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| How much to penalize new tokens based on their existing frequency in the text so far. Decreases the model's likelihood to repeat the same line verbatim. | āĻāĻāύ āĻĒāϰā§āϝāύā§āϤ āϞā§āĻāĻžāĻāĻŋāϤ⧠āĻŦāĻŋāĻĻā§āϝāĻŽāĻžāύ āĻĢā§āϰāĻŋāĻā§āϝāĻŧā§āύā§āϏāĻŋāϰ āĻāĻĒāϰ āĻāĻŋāϤā§āϤāĻŋ āĻāϰ⧠āύāϤā§āύ āĻā§āĻā§āύāĻā§āϞāĻŋāĻā§ āĻāϤ āĻļāĻžāϏā§āϤāĻŋ āĻĻāĻŋāϤ⧠āĻšāĻŦā§āĨ¤ āĻŽāĻĄā§āϞā§āϰ āĻāĻāĻ āϞāĻžāĻāύā§āϰ āĻĒā§āύāϰāĻžāĻŦā§āϤā§āϤāĻŋāϰ āϏāĻŽā§āĻāĻžāĻŦāύāĻž āĻšā§āϰāĻžāϏ āĻāϰā§āĨ¤ | Details | |
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How much to penalize new tokens based on their existing frequency in the text so far. Decreases the model's likelihood to repeat the same line verbatim. āĻāĻāύ āĻĒāϰā§āϝāύā§āϤ āϞā§āĻāĻžāĻāĻŋāϤ⧠āĻŦāĻŋāĻĻā§āϝāĻŽāĻžāύ āĻĢā§āϰāĻŋāĻā§āϝāĻŧā§āύā§āϏāĻŋāϰ āĻāĻĒāϰ āĻāĻŋāϤā§āϤāĻŋ āĻāϰ⧠āύāϤā§āύ āĻā§āĻā§āύāĻā§āϞāĻŋāĻā§ āĻāϤ āĻļāĻžāϏā§āϤāĻŋ āĻĻāĻŋāϤ⧠āĻšāĻŦā§āĨ¤ āĻŽāĻĄā§āϞā§āϰ āĻāĻāĻ āϞāĻžāĻāύā§āϰ āĻĒā§āύāϰāĻžāĻŦā§āϤā§āϤāĻŋāϰ āϏāĻŽā§āĻāĻžāĻŦāύāĻž āĻšā§āϰāĻžāϏ āĻāϰā§āĨ¤
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| Frequency penalty | āĻĢā§āϰāĻŋāĻā§āϝāĻŧā§āύā§āϏāĻŋ āĻāϰāĻŋāĻŽāĻžāύāĻž | Details | |
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Frequency penalty āĻĢā§āϰāĻŋāĻā§āϝāĻŧā§āύā§āϏāĻŋ āĻāϰāĻŋāĻŽāĻžāύāĻž
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| Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. | āύāĻŋāĻāĻā§āϞāĻŋāϝāĻŧāĻžāϏ āύāĻŽā§āύāĻžāϰ āĻŽāĻžāϧā§āϝāĻŽā§ āĻŦā§āĻāĻŋāϤā§āϰā§āϝ āύāĻŋāϝāĻŧāύā§āϤā§āϰāĻŖ āĻāϰā§: ā§Ļ.ā§Ģ āĻŽāĻžāύ⧠āϏāĻŽāϏā§āϤ āϏāĻŽā§āĻāĻžāĻŦāύāĻž-āĻāϝāĻŧā§āĻā§āĻĄ āĻŦāĻŋāĻāϞā§āĻĒā§āϰ āĻ āϰā§āϧā§āĻ āĻŦāĻŋāĻŦā§āĻāύāĻž āĻāϰāĻž āĻšāϝāĻŧāĨ¤ | Details | |
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Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. āύāĻŋāĻāĻā§āϞāĻŋāϝāĻŧāĻžāϏ āύāĻŽā§āύāĻžāϰ āĻŽāĻžāϧā§āϝāĻŽā§ āĻŦā§āĻāĻŋāϤā§āϰā§āϝ āύāĻŋāϝāĻŧāύā§āϤā§āϰāĻŖ āĻāϰā§: ā§Ļ.ā§Ģ āĻŽāĻžāύ⧠āϏāĻŽāϏā§āϤ āϏāĻŽā§āĻāĻžāĻŦāύāĻž-āĻāϝāĻŧā§āĻā§āĻĄ āĻŦāĻŋāĻāϞā§āĻĒā§āϰ āĻ āϰā§āϧā§āĻ āĻŦāĻŋāĻŦā§āĻāύāĻž āĻāϰāĻž āĻšāϝāĻŧāĨ¤
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| Top P | āĻāĻĒ āĻĒāĻŋ | Details | |
| Up to four sequences where the API will stop generating futher tokens. The returned text will not contain the stop sequence. Enter sequences with ";" separator. | āĻāĻžāϰāĻāĻŋ āĻĒāϰā§āϝāύā§āϤ āϏāĻŋāĻā§āϝāĻŧā§āύā§āϏ āϝā§āĻāĻžāύ⧠API āĻĒāϰāĻŦāϰā§āϤ⧠āĻā§āĻā§āύ āϤā§āϰāĻŋ āĻāϰāĻž āĻŦāύā§āϧ āĻāϰāĻŦā§āĨ¤ āĻĢāĻŋāϰ⧠āĻāϏāĻž āĻā§āĻā§āϏāĻā§ āϏā§āĻāĻĒ āϏāĻŋāĻā§āϝāĻŧā§āύā§āϏ āĻĨāĻžāĻāĻŦā§ āύāĻžāĨ¤ ";" āĻŦāĻŋāĻāĻžāĻāĻ āĻĻāĻŋāϝāĻŧā§ āϏāĻŋāĻā§āϝāĻŧā§āύā§āϏ āϞāĻŋāĻā§āύāĨ¤ | Details | |
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Up to four sequences where the API will stop generating futher tokens. The returned text will not contain the stop sequence. Enter sequences with ";" separator. āĻāĻžāϰāĻāĻŋ āĻĒāϰā§āϝāύā§āϤ āϏāĻŋāĻā§āϝāĻŧā§āύā§āϏ āϝā§āĻāĻžāύ⧠API āĻĒāϰāĻŦāϰā§āϤ⧠āĻā§āĻā§āύ āϤā§āϰāĻŋ āĻāϰāĻž āĻŦāύā§āϧ āĻāϰāĻŦā§āĨ¤ āĻĢāĻŋāϰ⧠āĻāϏāĻž āĻā§āĻā§āϏāĻā§ āϏā§āĻāĻĒ āϏāĻŋāĻā§āϝāĻŧā§āύā§āϏ āĻĨāĻžāĻāĻŦā§ āύāĻžāĨ¤ ";" āĻŦāĻŋāĻāĻžāĻāĻ āĻĻāĻŋāϝāĻŧā§ āϏāĻŋāĻā§āϝāĻŧā§āύā§āϏ āϞāĻŋāĻā§āύāĨ¤
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| Stop sequences | āĻā§āϰāĻŽ āĻŦāύā§āϧ āĻāϰā§āύ | Details | |
| The maximum number of tokens to "generate". Requests can use up to 2,048 or 4000 tokens shared between prompt and completion. The exact limit varies by model. (One token is roughly 4 characters for normal English text) | "āĻā§āύāĻžāϰā§āĻ" āĻāϰāĻžāϰ āĻāύā§āϝ āϏāϰā§āĻŦāĻžāϧāĻŋāĻ āĻāϤ āĻā§āĻā§āύ āĻĒā§āϰāϝāĻŧā§āĻāύāĨ¤ āĻ āύā§āϰā§āϧāĻā§āϞāĻŋ āĻĒā§āϰāĻŽā§āĻĒāĻ āĻāĻŦāĻ āϏāĻŽā§āĻĒā§āϰā§āĻŖāĻāϰāĻŖā§āϰ āĻŽāϧā§āϝ⧠āĻāĻžāĻ āĻāϰāĻž 2,048 āĻŦāĻž 4000 āĻā§āĻā§āύ āĻĒāϰā§āϝāύā§āϤ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻāϰāϤ⧠āĻĒāĻžāϰā§āĨ¤ āĻŽāĻĄā§āϞ āĻ āύā§āϏāĻžāϰ⧠āϏāĻ āĻŋāĻ āϏā§āĻŽāĻž āĻĒāϰāĻŋāĻŦāϰā§āϤāĻŋāϤ āĻšāϝāĻŧāĨ¤ (āϏāĻžāϧāĻžāϰāĻŖ āĻāĻāϰā§āĻāĻŋ āĻĒāĻžāĻ ā§āϝā§āϰ āĻāύā§āϝ āĻāĻāĻāĻŋ āĻā§āĻā§āύ āĻĒā§āϰāĻžāϝāĻŧ 4 āĻ āĻā§āώāϰ) | Details | |
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The maximum number of tokens to "generate". Requests can use up to 2,048 or 4000 tokens shared between prompt and completion. The exact limit varies by model. (One token is roughly 4 characters for normal English text) "āĻā§āύāĻžāϰā§āĻ" āĻāϰāĻžāϰ āĻāύā§āϝ āϏāϰā§āĻŦāĻžāϧāĻŋāĻ āĻāϤ āĻā§āĻā§āύ āĻĒā§āϰāϝāĻŧā§āĻāύāĨ¤ āĻ āύā§āϰā§āϧāĻā§āϞāĻŋ āĻĒā§āϰāĻŽā§āĻĒāĻ āĻāĻŦāĻ āϏāĻŽā§āĻĒā§āϰā§āĻŖāĻāϰāĻŖā§āϰ āĻŽāϧā§āϝ⧠āĻāĻžāĻ āĻāϰāĻž 2,048 āĻŦāĻž 4000 āĻā§āĻā§āύ āĻĒāϰā§āϝāύā§āϤ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻāϰāϤ⧠āĻĒāĻžāϰā§āĨ¤ āĻŽāĻĄā§āϞ āĻ āύā§āϏāĻžāϰ⧠āϏāĻ āĻŋāĻ āϏā§āĻŽāĻž āĻĒāϰāĻŋāĻŦāϰā§āϤāĻŋāϤ āĻšāϝāĻŧāĨ¤ (āϏāĻžāϧāĻžāϰāĻŖ āĻāĻāϰā§āĻāĻŋ āĻĒāĻžāĻ ā§āϝā§āϰ āĻāύā§āϝ āĻāĻāĻāĻŋ āĻā§āĻā§āύ āĻĒā§āϰāĻžāϝāĻŧ 4 āĻ āĻā§āώāϰ)
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