This node establishes a connection with an OpenAI Chat Model. After successfully authenticating using the OpenAI Authenticator node, you can select a chat model from a predefined list.
If OpenAI releases a new model that is not among the listed models, you can also select from a list of all available OpenAI models but you have to ensure that selected model is compatible with the OpenAI Chat API.
Note that chat models can also be used as LLMs because they are actually a subcategory of LLMs that are optimized for chat-like applications.
Select the chat-optimized OpenAI model ID to be used.
Available options:
Select from a list of all available OpenAI models. The model chosen has to be compatible with OpenAI's Chat API.
The maximum number of tokens to generate.
The token count of your prompt plus max_tokens cannot exceed the model's context length.
Sampling temperature to use, between 0.0 and 2.0. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. It is generally recommend altering this or top_p but not both.
How many chat completion choices to generate for each input message. This parameter generates many completions and can quickly consume your token quota.
An alternative to sampling with temperature, where the model considers the results of the tokens (words) with top_p probability mass. Hence, 0.1 means only the tokens comprising the top 10% probability mass are considered.
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