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Compressing LLMs With Quantum-Inspired Software

7 months ago thenewstack.io
Compressing LLMs With Quantum-Inspired Software

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

Large language models are inefficient, period. That’s apparent at AWS re:Invent this week. Inference is a hot topic, and conversations center on how to make the most of LLMs, considering the cost of training and the energy consumption required.

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