williamrs-openai
commented
8 months ago Explanation will work without logpobs but our current scoring method won't, we will update if we have a better scoring method
On Wed, Nov 1, 2023 at 8:56 PM Youcheng Huang @.***> wrote:
Hi,
I find that the simulator will postprocess the response of 'text-davinci-003' using the response field 'logprobs'.
However, as I read the document of openai, the field 'logprobs' is going to be deprecated since the completion response object will be replaced by chat completion object, and also the model 'text-davince-003' is going to be deprecated.
I now have the access to the gpt-4 and gpt-3.5-turbo with chat completion response object. Is there any way to conduct the neuron-explainer using the two models? i.e. without the field 'logprobs'.
Or, is it necessary to call 'text-davince-003' and other models with completion response object that return 'logprobs'.
Thanks a lot!
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Hi,
I find that the simulator will postprocess the response of 'text-davinci-003' using the response field 'logprobs'.
However, as I read the document of openai, the field 'logprobs' is going to be deprecated since the completion response object will be replaced by chat completion object, and also the model 'text-davince-003' is going to be deprecated.
I now have the access to the gpt-4 and gpt-3.5-turbo with chat completion response object. Is there any way to conduct the neuron-explainer using the two models? i.e. without the field 'logprobs'.
Or, is it necessary to call 'text-davince-003' and other models with completion response object that return 'logprobs'.
Thanks a lot!