What are the key requirements for AI systems?
An example of an AI chatbot conversation about key requirements for AI systems.
What are the key requirements for AI systems?
The key requirements for AI systems include data quality, computational power, algorithms, and domain expertise.
Can you elaborate on the importance of data quality?
Data quality is crucial because AI systems learn from data. Poor quality data can lead to inaccurate models and results.
What role do algorithms play in AI?
Algorithms are the backbone of AI; they define how data is processed and how decisions are made based on that data.
How does domain expertise influence AI development?
Domain expertise ensures that the AI system is relevant and effective in solving specific problems within a field.
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