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What is semantic caching, and how is it used in LLMs?
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Answer Posted / Narendra Pratap Singh
Semantic caching is a technique used in Large Language Models (LLMs) to improve efficiency by storing and reusing intermediate representations of sentences or phrases. This can significantly reduce computation time when encountering similar inputs multiple times during a conversation. Semantic caching allows LLMs to focus more on understanding the context and generating appropriate responses, rather than repeatedly computing the same representations.
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