Provide the OpenAI prompt parameters to emulate the experience of ChatGPT app

[nqngo]

ChatGPT is very verbose and provide a fair bit of contextual information on the prompt provide.

When /ask is implemented, what are the parameters, token size, words penalty tuning we need to provide to OpenAI to emulate that experience?

Please investigate and provide the parameters needed.

[dacphuc1993]

Here is my suggestion for default parameters of OpenAI API

frequency_penalty = 0           # penalty for repeating tokens, if set to high -> lower likelihood of repeating word
presence_penalty = 0             # similar to penalty above. Keeping default = 0 for the balance
logprobs = False                    # whether to return log probabilities in output object
max_tokens = 1000                # maximum number of tokens generated by models
n = 1                                       # number of response generated by models
seed = 1000                # for reproducible output, must keep this consistent across the codebase
stream = False            # whether to stream the output -> display text as stream
temperature = 0.1      # control the creativity of models. Lower values indicate more factual text