What are the limits of pre-trained models?

What are the main limitations of pre-trained AI models?

Pre-trained models can struggle with domain-specific tasks, lack adaptability, and may not understand nuanced contexts.

Can they be fine-tuned for specific applications?

Yes, fine-tuning allows pre-trained models to adapt to specific tasks, improving their performance in those areas.

What happens if the training data is biased?

If the training data is biased, the model may produce biased outputs, reflecting those biases in its predictions.

Are there any ethical concerns with using these models?

Yes, ethical concerns include data privacy, bias in decision-making, and the potential for misuse in generating misleading information.