Factorization
Artificial Intelligence
LoRa, QLoRA and QA-LoRA: Efficient Adaptability in Large Language Models Through Low-Rank Matrix Factorization
Large Language Models (LLMs) have carved a singular area of interest, offering unparalleled capabilities in understanding and generating human-like text. The facility of LLMs might be traced back to their enormous size, often having...
Artificial Intelligence
Non-Negative Matrix Factorization (NMF) for Dimensionality Reduction in Image Data
Discussing theory and implementation with Python and Scikit-learnYou may’t break the non-negativity constraint when running non-negative matrix factorization (NMF). The feature matrix should all the time contain non-negative elements.
Artificial Intelligence
Recommender System: Collaborative Filtering with Matrix Factorization
Explanation of Recommendations through Matrix Factorization Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. https://doi.org/10.1145/2827872
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