Category: Business

Dec, 24 2025

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Emily Fies

Testing RAG pipelines requires both synthetic queries for controlled evaluation and real traffic monitoring to catch real-world failures. Learn how to balance cost, accuracy, and speed to build reliable AI systems.

Nov, 19 2025

Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions

Emily Fies

Generative AI is transforming supply chain demand forecasting by turning numbers into explainable narratives and helping teams handle exceptions before they become crises. Learn how it works, who’s using it, and what you need to get started.

Oct, 16 2025

Why Large Language Models Excel at Many Tasks: Transfer, Generalization, and Emergent Abilities

Emily Fies

Large language models excel because they learn from massive text data, then adapt to new tasks with minimal examples. Transfer learning, generalization, and emergent abilities make them powerful without needing custom training for every job.

Sep, 15 2025

How Large Language Models Handle What They Don't Know: Communicating Uncertainty

Emily Fies

Large language models often answer confidently even when they're wrong. Learn how knowledge boundaries and uncertainty communication help them admit when they don't know, reducing hallucinations and building trust in real-world applications.

Category: Business

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions

Why Large Language Models Excel at Many Tasks: Transfer, Generalization, and Emergent Abilities

How Large Language Models Handle What They Don't Know: Communicating Uncertainty

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Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

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