Reduce Computation Overhead in Large Language Models

Wondering how to cut down computation time in large language models? Modern LLM frameworks use caching to save the intermediate outputs from multi-head attention, reducing redundancy as inputs grow. Learn how this technique optimizes performance and avoids unnecessary duplicate computations in the decoder architecture in the full video on our channel: @edgeaifoundation

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