From the course: Agentic AI Design Patterns for GenAI and Predictive AI
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Automated feature discovery and engineering
From the course: Agentic AI Design Patterns for GenAI and Predictive AI
Automated feature discovery and engineering
- When training predictive or even some generative AI system models, it's common for there to be a need to perform some level of feature engineering. This means that either a human AI engineer or the system's internal feature engineering module, or both, will attempt to choose which of the available features are most relevant to the model, or they might try to derive new features from existing ones. They could fill in missing values or encode text-based features like CD into a numerical format as well. While this is important to preparing and optimizing the training data for a given model, it's a tedious process that often relies on human judgment. Even the internal logic within the system's feature engineering module will often be limited to static pre-programed rules and functions. With the automated feature discovery and engineering pattern, a separate autonomous feature engineering agent is introduced with…
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