Merge pull request #233743 from mrbullwinkle/mrb_04_06_2023_reference_update

[Azure OpenAI] Update to indicate range of temperature parameter is 0 to 2

Author: prmerger-automator[bot]

articles/cognitive-services/openai/reference.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: openai
 ms.topic: conceptual
-ms.date: 04/04/2023
+ms.date: 04/06/2023
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -63,7 +63,7 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 |--|--|--|--|--|
 | ```prompt``` | string or array | Optional | ```<\|endoftext\|>``` | The prompt(s) to generate completions for, encoded as a string, a list of strings, or a list of token lists. Note that ```<\|endoftext\|>``` is the document separator that the model sees during training, so if a prompt isn't specified the model will generate as if from the beginning of a new document. |
 | ```max_tokens``` | integer | Optional | 16 | The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens can't exceed the model's context length. Most models have a context length of 2048 tokens (except for the newest models, which support 4096). |
-| ```temperature``` | number | Optional | 1 | What 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. |
+| ```temperature``` | number | Optional | 1 | What sampling temperature to use, between 0 and 2. 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. |
 | ```top_p``` | number | Optional | 1 | 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. |
 | ```logit_bias``` | map | Optional | null | 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. |
 | ```user``` | string | Optional | | A unique identifier representing your end-user, which can help monitoring and detecting abuse |