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Learn about (Q)LoRA (Quantized Low-Rank Adaptation) techniques and participate in a comprehensive course wrap-up session covering key concepts from the data science curriculum. Explore the fundamentals of LoRA and its quantized variant, understanding how these parameter-efficient fine-tuning methods work for large language models and other neural networks. Review and consolidate the major topics covered throughout the course, reinforcing your understanding of data science methodologies and their practical applications. Access detailed presentation slides to follow along with the technical explanations and visual demonstrations of LoRA implementations and course highlights.
