Explore a comprehensive 47-minute video tutorial on BitNet.cpp, a Microsoft-developed framework designed for inference of models trained with 1-bit precision like BitNet b1.58. Learn about the implementation and capabilities of this framework that enables CPU-based inference for models up to 100B parameters. Access practical examples and implementation details through the accompanying GitHub repository, which contains detailed notebooks focused on model quantization techniques. Gain hands-on experience with MLOps practices and understand how to leverage BitNet.cpp for efficient machine learning model deployment in Spanish.
Overview
Syllabus
MLOPS: BitNet.cpp, Inferencia en CPU de modelos hasta 100B Español #datascience #machinelearning
Taught by
The Machine Learning Engineer
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