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AI Ethics: Unauthorized access deprives developers of the revenue needed to maintain the massive compute costs of generative models. 6. Conclusion Explainability and transparency : As machine learning models

• Explainability and transparency: As machine learning models become more pervasive, there is a growing need for explainability and transparency in AI decision-making.
• Edge AI: With the proliferation of IoT devices, edge AI is becoming increasingly important, allowing for real-time processing and analysis of data.
• Transfer learning: Transfer learning, which involves using pre-trained models as a starting point for new tasks, is becoming more popular, allowing for faster and more efficient model development.

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