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Intelligence derived from edge data can now be treated as a first-class entity, transforming how we manage and share insights across devices.
Fog computing could revolutionize LLM deployment by slashing latency and enhancing privacy, making AI more accessible and efficient.
LLM scaling bottlenecks demand a shift towards cloud-native architectures and distributed systems, unlocking potential gains from serverless inference and quantum computing.
