Public sector modernization demands more than cloud migration. Drawing on two decades of enterprise architecture experience, ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
A useful name for what accumulates in the mismatch is verification debt. It is the gap between what you released and what you ...
Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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