AI LLM endpoint params OpenAI
AI LLM endpoint params OpenAI object.
openai_paramsThe type of the AI LLM endpoint params object for OpenAI. This parameter is required.
Value is always openai_params
1.5-22Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
1.5-22Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
<|im_end|>Up to 4 sequences where the API will stop generating further tokens.
002What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random,
while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.
10.11An alternative to sampling with temperature, called nucleus sampling, where the model considers the results
of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability
mass are considered. We generally recommend altering this or temperature but not both.
Response Example
{
"type": "openai_params",
"frequency_penalty": 1.5,
"presence_penalty": 1.5,
"stop": "<|im_end|>",
"temperature": 0,
"top_p": 1
}