Training layer
The Training layer is where your GenAI models come to learn how to behave in front of your customers, learning from the curated data and acquiring the skills needed to generate meaningful outputs. But it’s not just about training; it’s about governing, monitoring, understanding, and continuously improving these models. Model governance is a necessity for building trustworthy AI. Here are key strategies to consider:
- Clear policies and guidelines: Establish a framework that defines how models are developed, deployed, monitored, and updated. Address ethical considerations like fairness, transparency, and accountability. Document your decision-making processes for model selection, hyperparameter tuning, and data handling.
- Responsible AI practices: Implement techniques to detect and mitigate potential biases in your training data and model outputs. Regularly evaluate the impact of your models on different user groups and stakeholders. Consider...
