This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
Abstract: Deep learning (DL) methods have been widely studied and applied in the field of computer vision (CV) over the past decades. The biggest disadvantage of classic DL methods is that they ...
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Abstract: Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods ...
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