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Kazan Federal University, Dmukhtasibovich -Doctor of Physical and Mathematical Sciences, Professor, Department of Data Analysis and Programming Technologies, Nusratullovich -Doctor of Technical Sciences, Department of Automated Systems for Data Collection and Processing, Institute of Management, Automation and Information Technologies, UNIVERSITY INSTITUTE OF COMPUTATIONAL, Kazan National Research Technological University
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Forget full fine-tuning: QLoRA on 7B models can match the perplexity of fully fine-tuned smaller models for low-resource languages, while slashing the parameter count by 40x.
Learn to build and evaluate your own NLP pipeline, from tokenization to RLHF, using open-weight models and reproducible research practices.
