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Pioneering Large Vision-Language Models with MoE-LLaVA

In the dynamic arena of artificial intelligence, the intersection of visual and linguistic data through large vision-language models (LVLMs) is a pivotal development. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception. Their applications span a vast array of fields, including but not limited to sophisticated image recognition systems, advanced natural…

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3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide with Pros, Cons, and Python Code Examples | by Ryu Sonoda | Feb, 2024

How should we choose between label, one-hot, and target encoding? 15 min read · 16 hours ago Why Do We Need Encoding? In the realm of machine learning, most algorithms demand inputs in numeric form, especially in many popular Python frameworks. For instance, in scikit-learn, linear regression, and neural networks require numerical…

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How to Create Synthetic Data. Go from Nothing to a Complete Dataframe… | by Kurt Klingensmith | Feb, 2024

Go from nothing to a complete dataframe with Python Photo by Joshua Sortino on Unsplash.After submitting a recent article to Towards Data Science’s editorial team, I received a message back with a simple inquiry: are the datasets licensed for commercial use? It was a great question — the datasets in my draft came from Seaborn,…

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