What are the limitations of GPT-2?
GPT-2 has several limitations, including a lack of understanding of context, difficulty with long-term coherence, and potential biases in its training data.
Can you explain how it struggles with context?
Sure! GPT-2 can sometimes lose track of the context in longer conversations, leading to irrelevant or nonsensical responses.
What about its biases? How do they affect its responses?
The biases in GPT-2 stem from the data it was trained on, which can lead to the generation of biased or inappropriate content.
Are there any improvements in newer models?
Yes, newer models like GPT-3 and beyond have made significant improvements in understanding context and reducing biases.
How can I mitigate these limitations when using GPT-2?
To mitigate limitations, you can provide clearer prompts, use shorter interactions, and apply post-processing to filter responses.
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