Traditional software teams are accustomed to tracking code changes through version control. AI systems introduce more moving parts. A model can change because its architecture is modified, its training data is updated, its parameters are tuned, or a different prompt is introduced. This creates a challenge when teams need to understand why an AI system […]
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