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Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health:

Microsoft Research

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15,213 views • 4 months ago •via X (Twitter)

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AMERICA’S FRAGILE GRID IS MAKING OFF-GRID POWER LOOK SMARTER EVERY DAY The cost of going off grid is becoming impossible to ignore. Climate activists and EV hype helped turn electric everything into a moral badge, but America’s power grid is under growing strain, and AI data centers are making that pressure worse. With oil refineries burning around the world and the grid growing more fragile, how can we protect power when the system fails? Relying on one overloaded grid could be disastrous, especially when backup options are no longer optional. Mike Adams (HealthRanger) breaks down why backup power is essential, and why solar and other off-grid options are more reliable when crisis hits.

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Production-ready RAG systems need observability. From tracking latency and throughput to evaluating response quality with human feedback or LLM-as-a-judge, robust observability gives you visibility into both system performance and output quality, on both a component and system-wide level. This lesson from our Retrieval Augmented Generation course breaks down the core components of an effective eval system and how to balance cost, automation, and accuracy when choosing your metrics. 📚 Learn more in the full course:

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