What are the best practices for AI training?
The best practices for AI training include data quality, model selection, and continuous evaluation.
Can you elaborate on the importance of data quality?
Data quality is crucial because it directly impacts the model's performance. Clean, relevant data leads to better outcomes.
What types of data should I use for training?
You should use diverse and representative datasets that reflect the real-world scenarios the AI will encounter.
How often should I retrain my AI model?
Retraining should be done regularly, especially when new data becomes available or when performance drops.
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