In different scenarios, various models (text-davinci-003, text-davinci-002, gpt-3.5-turbo, gpt4) are used, are there any specific reasons? Since text-davinci-003 is much expensive than gpt-3.5-turbo, I try to replace it, but may be text-davinci-003 performs better in the specific tasks?
In different scenarios, various models (text-davinci-003, text-davinci-002, gpt-3.5-turbo, gpt4) are used, are there any specific reasons? Since text-davinci-003 is much expensive than gpt-3.5-turbo, I try to replace it, but may be text-davinci-003 performs better in the specific tasks?