Quantization is a method for shrinking large machine learning models, allowing them to run on smaller devices like phones and laptops. It’s especially relevant for anyone working with large language models (LLMs) who wants to optimise performance without sacrificing too much accuracy. Videos under this topic often cover practical techniques, such as compressing models using Python, fine-tuning LLMs like Mistral Small, and leveraging QLoRA for working with limited GPU resources.
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