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How to custom model, temperature and top_p

• Find file .env in the root of the app and change it
• Example : CUSTOM_MY_MODEL=gpt-4-1106-preview
• gpt-4-1106-preview is model name

Why custom temperature and top_p

Nucleus sampling is a technique used in large language models to control the randomness and diversity of generated text. It works by sampling from only the most likely tokens in the model’s predicted distribution.
The key parameters are:

• Temperature: Controls randomness, higher values increase diversity.

• Top-p (nucleus): The cumulative probability cutoff for token selection. Lower values mean sampling from a smaller, more top-weighted nucleus.

In general:

• Higher temperature will make outputs more random and diverse.

• Lower top-p values reduce diversity and focus on more probable tokens.

OpenAI recommends only altering either temperature or top-p from the default.

Temperature and Top_p have a default of 1

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• .vtt WebVTT

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• Translate subtitle using ChatGPT
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• Translation according to the preceding and following sentences

Thank you gnehs