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Building Trust in AI Model Training
Exploring the importance of post-training measures like real-time verification and user interaction to ensure trustworthy AI models. Focus on interactive AI agents for effective communication with users, emphasizing identifying ambiguity and providing trustworthy suggestions. Discussion on transformative tools enabling high-level code writing for non-technical users and challenges of shifting between programming languages.