Learn how to confirm you’re using the GPT-4 model in OpenAI API requests by checking the response object. Detailed explanation for developers preparing for OpenAI certification exams.
Table of Contents
Question
You have continuous model upgrades set on your GPT-4 model. Upon sending a request, what can you do to confirm that you are using this version?
A. Look at the request object, and check the system_fingerprint field.
B. Look at the response object, and check the model field.
C. Look at the response object, and check the object field.
D. Look at the request object, and check the usage field.
Answer
To confirm the version of GPT-4 being used when continuous model upgrades are set, you should inspect the response object and specifically check the model field. This field provides the exact model name utilized during the request, such as gpt-4 or gpt-4-turbo.
B. Look at the response object, and check the model field.
Explanation
The model field in the response object explicitly identifies the model version used to process your request. For example, if you send a request specifying GPT-4, the response will include “model”: “gpt-4” or a more specific identifier like “gpt-4-0613”, depending on the configuration and updates applied by OpenAI. This method is reliable and commonly recommended in OpenAI documentation for verifying model versions.
Why Other Options Are Incorrect
Option A (Check system_fingerprint field): The system_fingerprint field is used to track backend configurations and infrastructure changes but does not directly identify the model version.
Option C (Check object field): The object field in the response typically indicates the type of API call (e.g., chat.completion) but does not specify the model version.
Option D (Check usage field): The usage field provides token-related metrics (e.g., prompt and completion tokens) but does not reveal the model version.
To confirm that you are using GPT-4, always refer to the model field in the response object after sending a request. This approach ensures accuracy and aligns with OpenAI’s recommended practices for developers working with their API.
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