What are the limitations of GPT-3?
GPT-3 has several limitations, including a lack of understanding of context, inability to access real-time information, and potential biases in its training data.
Can you give examples of biases in GPT-3?
Sure! GPT-3 can reflect societal biases present in its training data, such as gender stereotypes or racial biases in language.
How does it handle ambiguous questions?
GPT-3 may struggle with ambiguous questions, often providing a generic response or misinterpreting the user's intent.
Is there a way to improve its responses?
Yes, providing clearer context or specific instructions can help improve the quality of GPT-3's responses.
What are the ethical concerns surrounding its use?
Ethical concerns include misinformation, privacy issues, and the potential for misuse in generating harmful content.
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