Optional best_Generates best_of completions server-side and returns the "best" (the
one with the highest log probability per token). Results cannot be
streamed. When used with n, best_of controls the number of candidate
completions and n specifies how many to return – best_of must be
greater than n. Note: Because this parameter generates many
completions, it can quickly consume your token quota. Use carefully and
ensure that you have reasonable settings for max_tokens and stop.
CreateCompletionRequest
Optional echoEcho back the prompt in addition to the completion
CreateCompletionRequest
Optional frequency_Number 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. See more information about frequency and presence penalties.
CreateCompletionRequest
Optional logit_Modify the likelihood of specified tokens appearing in the completion.
Accepts a json object that maps tokens (specified by their token ID in
the GPT tokenizer) to an associated bias value from -100 to 100. You can
use this tokenizer tool (which works for both
GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias
is added to the logits generated by the model prior to sampling. The
exact effect will vary per model, but values between -1 and 1 should
decrease or increase likelihood of selection; values like -100 or 100
should result in a ban or exclusive selection of the relevant token. As
an example, you can pass {\"50256\": -100} to prevent the <|endoftext|>
token from being generated.
CreateCompletionRequest
Optional logprobsInclude the log probabilities on the logprobs most likely tokens, as
well the chosen tokens. For example, if logprobs is 5, the API will
return a list of the 5 most likely tokens. The API will always return the
logprob of the sampled token, so there may be up to logprobs+1
elements in the response. The maximum value for logprobs is 5. If you
need more than this, please contact us through our Help
center and describe your use case.
CreateCompletionRequest
Optional max_The maximum number of tokens to generate in the completion.
The token count of your prompt plus max_tokens cannot exceed the
model's context length. Most models have a context length of 2048 tokens
(except for the newest models, which support 4096).
CreateCompletionRequest
ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
CreateCompletionRequest
Optional nHow many completions to generate for each prompt. Note: Because this
parameter generates many completions, it can quickly consume your token
quota. Use carefully and ensure that you have reasonable settings for
max_tokens and stop.
CreateCompletionRequest
Optional presence_Number 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. See more information about frequency and presence penalties.
CreateCompletionRequest
Optional promptCreateCompletionRequest
Optional stopCreateCompletionRequest
Optional streamWhether to stream back partial progress. If set, tokens will be sent as
data-only server-sent
events
as they become available, with the stream terminated by a data: [DONE]
message.
CreateCompletionRequest
Optional suffixThe suffix that comes after a completion of inserted text.
CreateCompletionRequest
Optional temperatureWhat sampling
temperature
to use. Higher values means the model will take more risks. Try 0.9 for
more creative applications, and 0 (argmax sampling) for ones with a
well-defined answer. We generally recommend altering this or top_p but
not both.
CreateCompletionRequest
Optional top_An 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.
CreateCompletionRequest
Optional userA unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. Learn more.
CreateCompletionRequest
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CreateCompletionRequest