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Showing all posts tagged with "Edge AI"
Three months ago, the focus shifted from massive LLMs to efficient Micro-LLMs (1-10B parameters). Learn why these smaller, fine-tuned models are becoming the standard for secure, cost-effective, and on-premise enterprise AI deployment.
In 2024, Edge AI matured from hype to necessity. Advances in model compression, specialized hardware, and privacy regulations converged to make on-device intelligence not just possible but practical. This article explores how companies integrated edge-based learning into their workflows to improve latency, reduce costs, and strengthen data governance.