LLM Deployment: A Strategic Guide from Cloud to Edge
Imagine you have just built a high-performance race car engine (your Large Language Model). It is powerful, loud, and capable […]
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pruning
Pruning of ML Models: An Extensive Overview
Large ML models often come with substantial computational costs, making them challenging to deploy on resource-constrained devices or in real-time
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How To Reduce LLM Computational Cost?
Large Language Models (LLMs) are computationally expensive to train and deploy. Here are some approaches to reduce their computational cost:
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