What are the main challenges in achieving accuracy in AI?
An example of an AI chatbot conversation about challenges in AI accuracy.
What are the main challenges in achieving accuracy in AI?
The main challenges include data quality, algorithm limitations, and bias in training data.
How does data quality affect AI accuracy?
Data quality directly impacts AI accuracy; poor quality data can lead to incorrect predictions and decisions.
Can you explain how bias in training data occurs?
Bias occurs when the training data is not representative of the real-world scenario, leading to skewed results.
What steps can be taken to improve AI accuracy?
Improving AI accuracy can involve using diverse datasets, refining algorithms, and continuous model evaluation.
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