Model compression involves techniques that shrink large machine learning models to make them faster and more efficient without sacrificing too much accuracy. By using methods like quantisation, as highlighted in NVIDIA’s video about their 4-bit format, practitioners can make AI run twice as fast on local hardware, including innovative setups like using a Mac as a local AI box. The Python code in the 'Compressing Large Language Models' video offers insights into practical applications of these techniques.
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