Quantization of Large Language Model Course Overview

Quantization of Large Language Model Course Overview

The Quantization of Large Language Model course at Koenig Solutions is a comprehensive one-day (8 hours) training designed to arm participants with the skills needed to make advanced generative AI models more efficient and accessible. Through practical exercises, learners will master linear quantization using the Quanto library, understand and implement downcasting with the Transformers library, and explore both asymmetric and symmetric methods in quantization. By building custom quantization functions in PyTorch, participants will not only reduce the computational demands of models but also ensure they run effectively on devices ranging from smartphones to edge devices. This course bridges the gap between theoretical knowledge and real-world application, making it crucial for anyone looking to enhance model performance while managing resource use efficiently.

Course Level Intermediate

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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs