The token generation capacity in OpenAI’s GPT models varies based on the model’s context window(length) as illustrated in the previous post. For instance, the gpt-3.5-turbo offers a context window of 4,096 tokens, while the gpt-4-1106-preview extends up to 128,000 tokens, capable of processing an entire book's content in a single chat interaction.
The model’s context window, which is shared between the prompt and completion, determines the maximum tokens allowed in a chat request. For gpt-3.5-turbo, this limit is 4,096 tokens.
Depending on the model used, requests can use up to 4097 tokens shared between prompt and completion. If your prompt is 4000 tokens, your completion can be 97 tokens at most.(Source: OpenAI Help Center)
The max_tokens parameter in the chat completion endpoint raises questions about its functioning. It represents the maximum number of tokens the model can return in completion.
The maximum number of tokens that can be generated in the chat completion.(Source: OpenAI Documentation)
You may encounter such error if the max_tokens + the token number of prompt exceeds the…
