TinyML’s Deep Learning Twist is Enabling AI Models to Meet New Efficiencies

IndustryTrends

Scientists from the University of Waterloo and DarwinAI have introduced a new deep learning architecture, called self-attention to TinyML.

The architecture is designed to build based on the old research theories that the team works on and is promising for edge AI applications.

Self-attention is a deep learning architecture that operates behind popular LLMs like GPT-3 and OPT-175B. 

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