Unlocking AI’s Potential in Software Systems
Incorporating AI into conventional software presents unique challenges, especially when dealing with non-deterministic behaviors. Eric Evans delves into practical strategies for harmonizing AI outputs within structured systems, aiming to enhance domain modeling and design.
Key Highlights:
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Behavioural Wrangling: Addressing the unpredictable nature of AI outputs to fit traditional software frameworks.
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Real-World Use Case: Discover how an app can map domains within a codebase, making navigation effortless.
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Modeling vs. Classification:
- Successful implementation hinges on clear distinctions between classification tasks and the modeling of relationships.
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Incremental Updates: Emphasizing the importance of iterating classification schemes to adapt to new code effectively.
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Standard Models: Leveraging established classification systems for improved consistency and integration.
Explore how marrying AI with robust modeling can drive innovation in your projects!
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