ChatGPT is an AI model and like any other AI models, the errors cannot be fixed directly by users. However, users can help improve the model by providing feedback on incorrect outputs through the user interface, if available. This feedback then is useful for the AI engineers who work on refining the model to improve its performance.
Here are a few steps to using the feedback mechanism to indirectly fix ChatGPT prediction errors:
1. Identify the Error: When you get a prediction from ChatGPT, identify whether it sounds natural and correct. If it’s not, consider whether it’s a flaw in world knowledge, nuances of language understanding, unpredictability, or some other error.
1. Use the Feedback Tool: If the interface you’re using with GPT-3 has a feedback feature, use this feature to report incorrectly predicted outputs.
1. Describe the Error: When providing feedback, describe the error in as much detail as possible. What was wrong with the prediction? What should the correct prediction be?
1. Repeat: Whenever you encounter inaccuracies, report them. The more data collected about prediction errors, the more information engineers have when refining future AI models.
Remember, OpenAI trains their models on a diverse range of internet text. But, because the models don’t know specifics about which documents were part of their training set, they can’t access or retrieve personal data unless it has been shared with them in the course of the conversation. They can predict and generate responses based on the patterns they’ve learned, but can’t access or know specifics about the documents they were trained on.
Also, as these models are humongous neural networks, they do not have the ability to introspect their knowledge or the sources they were trained on. Hence, fixing prediction errors permanently in the model’s source is more of an enhancement of the model capabilities handled by the research and development teams at OpenAI. By reporting these errors, we participate in this enhancement process.
