我尝试使用messages参数而不是prompt参数来训练GPT 3.5模型，尽管OpenAI的文档中明确提到可以这样训练模型，但仍然抛出了错误。

import openaiconversation=[        {"role": "system", "content": "You are a helpful assistant."},        {"role": "user", "content": "Who won the world series in 2020?"},        {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},    ]def askGPT(question):    conversation.append({"role": "user", "content": question})    openai.api_key = "openai key"    response = openai.Completion.create(        model = "gpt-3.5-turbo",        messages = conversation,        temperature = 0.6        #max_tokens = 150,    )    #conversation.append({"role": "assistant","content":response})    #print(response)    #print(response["choices"][0]["message"]["content"])        conversation.append({"role": "assistant", "content": response.choices[0].message.content})    print(response.choices[0].message.content)def main():    while True:        print('GPT: Ask me a question\n')        myQn = input()        askGPT(myQn)        print('\n')main()

错误：

openai.error.InvalidRequestError: Unrecognized request argument supplied: messages

我尝试在“responses”中给模型提供“conversations”，但似乎不起作用。

回答：

您在聊天完成和完成之间犯了错误。请查看文档。

完成：https://platform.openai.com/docs/api-reference/completions/create

聊天完成：https://platform.openai.com/docs/api-reference/chat/create