Traditional Optical Character Recognition (OCR) systems are primarily designed to extract plain text from scanned documents or images. While useful, such systems often ignore semantic structure, ...
Imagine trying to teach a toddler a new skill, like stacking blocks to build a tower. You’d show them, maybe guide their little hands, and explain, "This one goes on top." After a few tries, they ...
To develop AI systems that are genuinely capable in real-world settings, we need models that can process and integrate both visual and textual information with high precision. This is the focus of ...
The landscape of Artificial Intelligence is rapidly evolving towards models that can seamlessly understand and generate information across multiple modalities, like text and images. Salesforce AI ...
In computing, Graphics Processing Units (GPUs) have transcended their original role, rendering simple polygons to become the workhorses behind realistic gaming worlds, machine learning advancements, ...
Training modern deep learning models often demands huge compute resources and time. As datasets grow larger and model architecture scale up, training on a single GPU is inefficient and time consuming. ...
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